images
listlengths 5
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[
"barts2018/slices/Brats18_CBICA_ASW_1_t1ce/mri_06209_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ASW_1_t1ce/mri_06209_img_t1.png",
"barts2018/slices/Brats18_CBICA_ASW_1_t1ce/mri_06209_img_t2.png",
"barts2018/slices/Brats18_CBICA_ASW_1_t1ce/mri_06209_img_flair.png",
"barts2018/slices/Brats18_CBICA_ASW_1_t1ce/mri_06209_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA01_378_1_t1ce/mri_00651_img_t1ce.png",
"barts2018/slices/Brats18_TCIA01_378_1_t1ce/mri_00651_img_t1.png",
"barts2018/slices/Brats18_TCIA01_378_1_t1ce/mri_00651_img_t2.png",
"barts2018/slices/Brats18_TCIA01_378_1_t1ce/mri_00651_img_flair.png",
"barts2018/slices/Brats18_TCIA01_378_1_t1ce/mri_00651_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00968_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00968_img_t1.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00968_img_t2.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00968_img_flair.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00968_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA04_437_1_t1ce/mri_04484_img_t1ce.png",
"barts2018/slices/Brats18_TCIA04_437_1_t1ce/mri_04484_img_t1.png",
"barts2018/slices/Brats18_TCIA04_437_1_t1ce/mri_04484_img_t2.png",
"barts2018/slices/Brats18_TCIA04_437_1_t1ce/mri_04484_img_flair.png",
"barts2018/slices/Brats18_TCIA04_437_1_t1ce/mri_04484_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00690_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00690_img_t1.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00690_img_t2.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00690_img_flair.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00690_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA13_654_1_t1ce/mri_03536_img_t1ce.png",
"barts2018/slices/Brats18_TCIA13_654_1_t1ce/mri_03536_img_t1.png",
"barts2018/slices/Brats18_TCIA13_654_1_t1ce/mri_03536_img_t2.png",
"barts2018/slices/Brats18_TCIA13_654_1_t1ce/mri_03536_img_flair.png",
"barts2018/slices/Brats18_TCIA13_654_1_t1ce/mri_03536_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_ASV_1_t1ce/mri_00898_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ASV_1_t1ce/mri_00898_img_t1.png",
"barts2018/slices/Brats18_CBICA_ASV_1_t1ce/mri_00898_img_t2.png",
"barts2018/slices/Brats18_CBICA_ASV_1_t1ce/mri_00898_img_flair.png",
"barts2018/slices/Brats18_CBICA_ASV_1_t1ce/mri_00898_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02917_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02917_img_t1.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02917_img_t2.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02917_img_flair.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02917_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_AME_1_t1ce/mri_00232_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AME_1_t1ce/mri_00232_img_t1.png",
"barts2018/slices/Brats18_CBICA_AME_1_t1ce/mri_00232_img_t2.png",
"barts2018/slices/Brats18_CBICA_AME_1_t1ce/mri_00232_img_flair.png",
"barts2018/slices/Brats18_CBICA_AME_1_t1ce/mri_00232_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_AQP_1_t1ce/mri_01459_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AQP_1_t1ce/mri_01459_img_t1.png",
"barts2018/slices/Brats18_CBICA_AQP_1_t1ce/mri_01459_img_t2.png",
"barts2018/slices/Brats18_CBICA_AQP_1_t1ce/mri_01459_img_flair.png",
"barts2018/slices/Brats18_CBICA_AQP_1_t1ce/mri_01459_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA01_180_1_t1ce/mri_06102_img_t1ce.png",
"barts2018/slices/Brats18_TCIA01_180_1_t1ce/mri_06102_img_t1.png",
"barts2018/slices/Brats18_TCIA01_180_1_t1ce/mri_06102_img_t2.png",
"barts2018/slices/Brats18_TCIA01_180_1_t1ce/mri_06102_img_flair.png",
"barts2018/slices/Brats18_TCIA01_180_1_t1ce/mri_06102_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA03_296_1_t1ce/mri_00745_img_t1ce.png",
"barts2018/slices/Brats18_TCIA03_296_1_t1ce/mri_00745_img_t1.png",
"barts2018/slices/Brats18_TCIA03_296_1_t1ce/mri_00745_img_t2.png",
"barts2018/slices/Brats18_TCIA03_296_1_t1ce/mri_00745_img_flair.png",
"barts2018/slices/Brats18_TCIA03_296_1_t1ce/mri_00745_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_ATB_1_t1ce/mri_05179_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ATB_1_t1ce/mri_05179_img_t1.png",
"barts2018/slices/Brats18_CBICA_ATB_1_t1ce/mri_05179_img_t2.png",
"barts2018/slices/Brats18_CBICA_ATB_1_t1ce/mri_05179_img_flair.png",
"barts2018/slices/Brats18_CBICA_ATB_1_t1ce/mri_05179_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00682_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00682_img_t1.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00682_img_t2.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00682_img_flair.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00682_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA01_429_1_t1ce/mri_06285_img_t1ce.png",
"barts2018/slices/Brats18_TCIA01_429_1_t1ce/mri_06285_img_t1.png",
"barts2018/slices/Brats18_TCIA01_429_1_t1ce/mri_06285_img_t2.png",
"barts2018/slices/Brats18_TCIA01_429_1_t1ce/mri_06285_img_flair.png",
"barts2018/slices/Brats18_TCIA01_429_1_t1ce/mri_06285_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01385_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01385_img_t1.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01385_img_t2.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01385_img_flair.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01385_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA02_274_1_t1ce/mri_01940_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_274_1_t1ce/mri_01940_img_t1.png",
"barts2018/slices/Brats18_TCIA02_274_1_t1ce/mri_01940_img_t2.png",
"barts2018/slices/Brats18_TCIA02_274_1_t1ce/mri_01940_img_flair.png",
"barts2018/slices/Brats18_TCIA02_274_1_t1ce/mri_01940_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA02_222_1_t1ce/mri_03593_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_222_1_t1ce/mri_03593_img_t1.png",
"barts2018/slices/Brats18_TCIA02_222_1_t1ce/mri_03593_img_t2.png",
"barts2018/slices/Brats18_TCIA02_222_1_t1ce/mri_03593_img_flair.png",
"barts2018/slices/Brats18_TCIA02_222_1_t1ce/mri_03593_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA08_234_1_t1ce/mri_00133_img_t1ce.png",
"barts2018/slices/Brats18_TCIA08_234_1_t1ce/mri_00133_img_t1.png",
"barts2018/slices/Brats18_TCIA08_234_1_t1ce/mri_00133_img_t2.png",
"barts2018/slices/Brats18_TCIA08_234_1_t1ce/mri_00133_img_flair.png",
"barts2018/slices/Brats18_TCIA08_234_1_t1ce/mri_00133_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA01_412_1_t1ce/mri_00032_img_t1ce.png",
"barts2018/slices/Brats18_TCIA01_412_1_t1ce/mri_00032_img_t1.png",
"barts2018/slices/Brats18_TCIA01_412_1_t1ce/mri_00032_img_t2.png",
"barts2018/slices/Brats18_TCIA01_412_1_t1ce/mri_00032_img_flair.png",
"barts2018/slices/Brats18_TCIA01_412_1_t1ce/mri_00032_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA09_141_1_t1ce/mri_03184_img_t1ce.png",
"barts2018/slices/Brats18_TCIA09_141_1_t1ce/mri_03184_img_t1.png",
"barts2018/slices/Brats18_TCIA09_141_1_t1ce/mri_03184_img_t2.png",
"barts2018/slices/Brats18_TCIA09_141_1_t1ce/mri_03184_img_flair.png",
"barts2018/slices/Brats18_TCIA09_141_1_t1ce/mri_03184_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA09_428_1_t1ce/mri_01785_img_t1ce.png",
"barts2018/slices/Brats18_TCIA09_428_1_t1ce/mri_01785_img_t1.png",
"barts2018/slices/Brats18_TCIA09_428_1_t1ce/mri_01785_img_t2.png",
"barts2018/slices/Brats18_TCIA09_428_1_t1ce/mri_01785_img_flair.png",
"barts2018/slices/Brats18_TCIA09_428_1_t1ce/mri_01785_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00693_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00693_img_t1.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00693_img_t2.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00693_img_flair.png",
"barts2018/slices/Brats18_CBICA_ABM_1_t1ce/mri_00693_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA01_231_1_t1ce/mri_03833_img_t1ce.png",
"barts2018/slices/Brats18_TCIA01_231_1_t1ce/mri_03833_img_t1.png",
"barts2018/slices/Brats18_TCIA01_231_1_t1ce/mri_03833_img_t2.png",
"barts2018/slices/Brats18_TCIA01_231_1_t1ce/mri_03833_img_flair.png",
"barts2018/slices/Brats18_TCIA01_231_1_t1ce/mri_03833_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_ABO_1_t1ce/mri_01143_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ABO_1_t1ce/mri_01143_img_t1.png",
"barts2018/slices/Brats18_CBICA_ABO_1_t1ce/mri_01143_img_t2.png",
"barts2018/slices/Brats18_CBICA_ABO_1_t1ce/mri_01143_img_flair.png",
"barts2018/slices/Brats18_CBICA_ABO_1_t1ce/mri_01143_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AOP_1_t1ce/mri_00946_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AOP_1_t1ce/mri_00946_img_t1.png",
"barts2018/slices/Brats18_CBICA_AOP_1_t1ce/mri_00946_img_t2.png",
"barts2018/slices/Brats18_CBICA_AOP_1_t1ce/mri_00946_img_flair.png",
"barts2018/slices/Brats18_CBICA_AOP_1_t1ce/mri_00946_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA05_478_1_t1ce/mri_00195_img_t1ce.png",
"barts2018/slices/Brats18_TCIA05_478_1_t1ce/mri_00195_img_t1.png",
"barts2018/slices/Brats18_TCIA05_478_1_t1ce/mri_00195_img_t2.png",
"barts2018/slices/Brats18_TCIA05_478_1_t1ce/mri_00195_img_flair.png",
"barts2018/slices/Brats18_TCIA05_478_1_t1ce/mri_00195_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AVV_1_t1ce/mri_03717_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AVV_1_t1ce/mri_03717_img_t1.png",
"barts2018/slices/Brats18_CBICA_AVV_1_t1ce/mri_03717_img_t2.png",
"barts2018/slices/Brats18_CBICA_AVV_1_t1ce/mri_03717_img_flair.png",
"barts2018/slices/Brats18_CBICA_AVV_1_t1ce/mri_03717_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00398_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00398_img_t1.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00398_img_t2.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00398_img_flair.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00398_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_2013_11_1_t1ce/mri_03954_img_t1ce.png",
"barts2018/slices/Brats18_2013_11_1_t1ce/mri_03954_img_t1.png",
"barts2018/slices/Brats18_2013_11_1_t1ce/mri_03954_img_t2.png",
"barts2018/slices/Brats18_2013_11_1_t1ce/mri_03954_img_flair.png",
"barts2018/slices/Brats18_2013_11_1_t1ce/mri_03954_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA08_436_1_t1ce/mri_06017_img_t1ce.png",
"barts2018/slices/Brats18_TCIA08_436_1_t1ce/mri_06017_img_t1.png",
"barts2018/slices/Brats18_TCIA08_436_1_t1ce/mri_06017_img_t2.png",
"barts2018/slices/Brats18_TCIA08_436_1_t1ce/mri_06017_img_flair.png",
"barts2018/slices/Brats18_TCIA08_436_1_t1ce/mri_06017_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_2013_28_1_t1ce/mri_01257_img_t1ce.png",
"barts2018/slices/Brats18_2013_28_1_t1ce/mri_01257_img_t1.png",
"barts2018/slices/Brats18_2013_28_1_t1ce/mri_01257_img_t2.png",
"barts2018/slices/Brats18_2013_28_1_t1ce/mri_01257_img_flair.png",
"barts2018/slices/Brats18_2013_28_1_t1ce/mri_01257_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA06_372_1_t1ce/mri_03399_img_t1ce.png",
"barts2018/slices/Brats18_TCIA06_372_1_t1ce/mri_03399_img_t1.png",
"barts2018/slices/Brats18_TCIA06_372_1_t1ce/mri_03399_img_t2.png",
"barts2018/slices/Brats18_TCIA06_372_1_t1ce/mri_03399_img_flair.png",
"barts2018/slices/Brats18_TCIA06_372_1_t1ce/mri_03399_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02463_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02463_img_t1.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02463_img_t2.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02463_img_flair.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02463_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA10_346_1_t1ce/mri_01586_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_346_1_t1ce/mri_01586_img_t1.png",
"barts2018/slices/Brats18_TCIA10_346_1_t1ce/mri_01586_img_t2.png",
"barts2018/slices/Brats18_TCIA10_346_1_t1ce/mri_01586_img_flair.png",
"barts2018/slices/Brats18_TCIA10_346_1_t1ce/mri_01586_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05237_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05237_img_t1.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05237_img_t2.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05237_img_flair.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05237_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01478_img_t1ce.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01478_img_t1.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01478_img_t2.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01478_img_flair.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01478_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA08_167_1_t1ce/mri_04448_img_t1ce.png",
"barts2018/slices/Brats18_TCIA08_167_1_t1ce/mri_04448_img_t1.png",
"barts2018/slices/Brats18_TCIA08_167_1_t1ce/mri_04448_img_t2.png",
"barts2018/slices/Brats18_TCIA08_167_1_t1ce/mri_04448_img_flair.png",
"barts2018/slices/Brats18_TCIA08_167_1_t1ce/mri_04448_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA03_199_1_t1ce/mri_00396_img_t1ce.png",
"barts2018/slices/Brats18_TCIA03_199_1_t1ce/mri_00396_img_t1.png",
"barts2018/slices/Brats18_TCIA03_199_1_t1ce/mri_00396_img_t2.png",
"barts2018/slices/Brats18_TCIA03_199_1_t1ce/mri_00396_img_flair.png",
"barts2018/slices/Brats18_TCIA03_199_1_t1ce/mri_00396_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AQJ_1_t1ce/mri_01279_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AQJ_1_t1ce/mri_01279_img_t1.png",
"barts2018/slices/Brats18_CBICA_AQJ_1_t1ce/mri_01279_img_t2.png",
"barts2018/slices/Brats18_CBICA_AQJ_1_t1ce/mri_01279_img_flair.png",
"barts2018/slices/Brats18_CBICA_AQJ_1_t1ce/mri_01279_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_ATD_1_t1ce/mri_05483_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ATD_1_t1ce/mri_05483_img_t1.png",
"barts2018/slices/Brats18_CBICA_ATD_1_t1ce/mri_05483_img_t2.png",
"barts2018/slices/Brats18_CBICA_ATD_1_t1ce/mri_05483_img_flair.png",
"barts2018/slices/Brats18_CBICA_ATD_1_t1ce/mri_05483_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00957_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00957_img_t1.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00957_img_t2.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00957_img_flair.png",
"barts2018/slices/Brats18_TCIA02_135_1_t1ce/mri_00957_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA01_401_1_t1ce/mri_01186_img_t1ce.png",
"barts2018/slices/Brats18_TCIA01_401_1_t1ce/mri_01186_img_t1.png",
"barts2018/slices/Brats18_TCIA01_401_1_t1ce/mri_01186_img_t2.png",
"barts2018/slices/Brats18_TCIA01_401_1_t1ce/mri_01186_img_flair.png",
"barts2018/slices/Brats18_TCIA01_401_1_t1ce/mri_01186_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA04_361_1_t1ce/mri_01200_img_t1ce.png",
"barts2018/slices/Brats18_TCIA04_361_1_t1ce/mri_01200_img_t1.png",
"barts2018/slices/Brats18_TCIA04_361_1_t1ce/mri_01200_img_t2.png",
"barts2018/slices/Brats18_TCIA04_361_1_t1ce/mri_01200_img_flair.png",
"barts2018/slices/Brats18_TCIA04_361_1_t1ce/mri_01200_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA04_149_1_t1ce/mri_03762_img_t1ce.png",
"barts2018/slices/Brats18_TCIA04_149_1_t1ce/mri_03762_img_t1.png",
"barts2018/slices/Brats18_TCIA04_149_1_t1ce/mri_03762_img_t2.png",
"barts2018/slices/Brats18_TCIA04_149_1_t1ce/mri_03762_img_flair.png",
"barts2018/slices/Brats18_TCIA04_149_1_t1ce/mri_03762_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA12_249_1_t1ce/mri_00339_img_t1ce.png",
"barts2018/slices/Brats18_TCIA12_249_1_t1ce/mri_00339_img_t1.png",
"barts2018/slices/Brats18_TCIA12_249_1_t1ce/mri_00339_img_t2.png",
"barts2018/slices/Brats18_TCIA12_249_1_t1ce/mri_00339_img_flair.png",
"barts2018/slices/Brats18_TCIA12_249_1_t1ce/mri_00339_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA02_394_1_t1ce/mri_04663_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_394_1_t1ce/mri_04663_img_t1.png",
"barts2018/slices/Brats18_TCIA02_394_1_t1ce/mri_04663_img_t2.png",
"barts2018/slices/Brats18_TCIA02_394_1_t1ce/mri_04663_img_flair.png",
"barts2018/slices/Brats18_TCIA02_394_1_t1ce/mri_04663_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA04_328_1_t1ce/mri_00888_img_t1ce.png",
"barts2018/slices/Brats18_TCIA04_328_1_t1ce/mri_00888_img_t1.png",
"barts2018/slices/Brats18_TCIA04_328_1_t1ce/mri_00888_img_t2.png",
"barts2018/slices/Brats18_TCIA04_328_1_t1ce/mri_00888_img_flair.png",
"barts2018/slices/Brats18_TCIA04_328_1_t1ce/mri_00888_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_ASE_1_t1ce/mri_02222_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ASE_1_t1ce/mri_02222_img_t1.png",
"barts2018/slices/Brats18_CBICA_ASE_1_t1ce/mri_02222_img_t2.png",
"barts2018/slices/Brats18_CBICA_ASE_1_t1ce/mri_02222_img_flair.png",
"barts2018/slices/Brats18_CBICA_ASE_1_t1ce/mri_02222_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AYI_1_t1ce/mri_06560_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AYI_1_t1ce/mri_06560_img_t1.png",
"barts2018/slices/Brats18_CBICA_AYI_1_t1ce/mri_06560_img_t2.png",
"barts2018/slices/Brats18_CBICA_AYI_1_t1ce/mri_06560_img_flair.png",
"barts2018/slices/Brats18_CBICA_AYI_1_t1ce/mri_06560_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AQG_1_t1ce/mri_04066_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AQG_1_t1ce/mri_04066_img_t1.png",
"barts2018/slices/Brats18_CBICA_AQG_1_t1ce/mri_04066_img_t2.png",
"barts2018/slices/Brats18_CBICA_AQG_1_t1ce/mri_04066_img_flair.png",
"barts2018/slices/Brats18_CBICA_AQG_1_t1ce/mri_04066_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AAG_1_t1ce/mri_00569_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AAG_1_t1ce/mri_00569_img_t1.png",
"barts2018/slices/Brats18_CBICA_AAG_1_t1ce/mri_00569_img_t2.png",
"barts2018/slices/Brats18_CBICA_AAG_1_t1ce/mri_00569_img_flair.png",
"barts2018/slices/Brats18_CBICA_AAG_1_t1ce/mri_00569_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01482_img_t1ce.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01482_img_t1.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01482_img_t2.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01482_img_flair.png",
"barts2018/slices/Brats18_TCIA08_105_1_t1ce/mri_01482_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05262_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05262_img_t1.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05262_img_t2.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05262_img_flair.png",
"barts2018/slices/Brats18_CBICA_ASA_1_t1ce/mri_05262_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06257_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06257_img_t1.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06257_img_t2.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06257_img_flair.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06257_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00881_img_t1ce.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00881_img_t1.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00881_img_t2.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00881_img_flair.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00881_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA05_277_1_t1ce/mri_01432_img_t1ce.png",
"barts2018/slices/Brats18_TCIA05_277_1_t1ce/mri_01432_img_t1.png",
"barts2018/slices/Brats18_TCIA05_277_1_t1ce/mri_01432_img_t2.png",
"barts2018/slices/Brats18_TCIA05_277_1_t1ce/mri_01432_img_flair.png",
"barts2018/slices/Brats18_TCIA05_277_1_t1ce/mri_01432_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA10_241_1_t1ce/mri_01349_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_241_1_t1ce/mri_01349_img_t1.png",
"barts2018/slices/Brats18_TCIA10_241_1_t1ce/mri_01349_img_t2.png",
"barts2018/slices/Brats18_TCIA10_241_1_t1ce/mri_01349_img_flair.png",
"barts2018/slices/Brats18_TCIA10_241_1_t1ce/mri_01349_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA01_460_1_t1ce/mri_00811_img_t1ce.png",
"barts2018/slices/Brats18_TCIA01_460_1_t1ce/mri_00811_img_t1.png",
"barts2018/slices/Brats18_TCIA01_460_1_t1ce/mri_00811_img_t2.png",
"barts2018/slices/Brats18_TCIA01_460_1_t1ce/mri_00811_img_flair.png",
"barts2018/slices/Brats18_TCIA01_460_1_t1ce/mri_00811_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_APZ_1_t1ce/mri_02623_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_APZ_1_t1ce/mri_02623_img_t1.png",
"barts2018/slices/Brats18_CBICA_APZ_1_t1ce/mri_02623_img_t2.png",
"barts2018/slices/Brats18_CBICA_APZ_1_t1ce/mri_02623_img_flair.png",
"barts2018/slices/Brats18_CBICA_APZ_1_t1ce/mri_02623_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AQV_1_t1ce/mri_05124_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AQV_1_t1ce/mri_05124_img_t1.png",
"barts2018/slices/Brats18_CBICA_AQV_1_t1ce/mri_05124_img_t2.png",
"barts2018/slices/Brats18_CBICA_AQV_1_t1ce/mri_05124_img_flair.png",
"barts2018/slices/Brats18_CBICA_AQV_1_t1ce/mri_05124_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_ASY_1_t1ce/mri_02963_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ASY_1_t1ce/mri_02963_img_t1.png",
"barts2018/slices/Brats18_CBICA_ASY_1_t1ce/mri_02963_img_t2.png",
"barts2018/slices/Brats18_CBICA_ASY_1_t1ce/mri_02963_img_flair.png",
"barts2018/slices/Brats18_CBICA_ASY_1_t1ce/mri_02963_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02926_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02926_img_t1.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02926_img_t2.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02926_img_flair.png",
"barts2018/slices/Brats18_TCIA10_490_1_t1ce/mri_02926_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA02_455_1_t1ce/mri_00632_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_455_1_t1ce/mri_00632_img_t1.png",
"barts2018/slices/Brats18_TCIA02_455_1_t1ce/mri_00632_img_t2.png",
"barts2018/slices/Brats18_TCIA02_455_1_t1ce/mri_00632_img_flair.png",
"barts2018/slices/Brats18_TCIA02_455_1_t1ce/mri_00632_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA13_633_1_t1ce/mri_01136_img_t1ce.png",
"barts2018/slices/Brats18_TCIA13_633_1_t1ce/mri_01136_img_t1.png",
"barts2018/slices/Brats18_TCIA13_633_1_t1ce/mri_01136_img_t2.png",
"barts2018/slices/Brats18_TCIA13_633_1_t1ce/mri_01136_img_flair.png",
"barts2018/slices/Brats18_TCIA13_633_1_t1ce/mri_01136_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00401_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00401_img_t1.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00401_img_t2.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00401_img_flair.png",
"barts2018/slices/Brats18_TCIA10_330_1_t1ce/mri_00401_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA10_410_1_t1ce/mri_00935_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_410_1_t1ce/mri_00935_img_t1.png",
"barts2018/slices/Brats18_TCIA10_410_1_t1ce/mri_00935_img_t2.png",
"barts2018/slices/Brats18_TCIA10_410_1_t1ce/mri_00935_img_flair.png",
"barts2018/slices/Brats18_TCIA10_410_1_t1ce/mri_00935_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_2013_7_1_t1ce/mri_00502_img_t1ce.png",
"barts2018/slices/Brats18_2013_7_1_t1ce/mri_00502_img_t1.png",
"barts2018/slices/Brats18_2013_7_1_t1ce/mri_00502_img_t2.png",
"barts2018/slices/Brats18_2013_7_1_t1ce/mri_00502_img_flair.png",
"barts2018/slices/Brats18_2013_7_1_t1ce/mri_00502_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02447_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02447_img_t1.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02447_img_t2.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02447_img_flair.png",
"barts2018/slices/Brats18_CBICA_APY_1_t1ce/mri_02447_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA10_282_1_t1ce/mri_00617_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_282_1_t1ce/mri_00617_img_t1.png",
"barts2018/slices/Brats18_TCIA10_282_1_t1ce/mri_00617_img_t2.png",
"barts2018/slices/Brats18_TCIA10_282_1_t1ce/mri_00617_img_flair.png",
"barts2018/slices/Brats18_TCIA10_282_1_t1ce/mri_00617_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_CBICA_ARF_1_t1ce/mri_00438_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ARF_1_t1ce/mri_00438_img_t1.png",
"barts2018/slices/Brats18_CBICA_ARF_1_t1ce/mri_00438_img_t2.png",
"barts2018/slices/Brats18_CBICA_ARF_1_t1ce/mri_00438_img_flair.png",
"barts2018/slices/Brats18_CBICA_ARF_1_t1ce/mri_00438_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA10_202_1_t1ce/mri_00078_img_t1ce.png",
"barts2018/slices/Brats18_TCIA10_202_1_t1ce/mri_00078_img_t1.png",
"barts2018/slices/Brats18_TCIA10_202_1_t1ce/mri_00078_img_t2.png",
"barts2018/slices/Brats18_TCIA10_202_1_t1ce/mri_00078_img_flair.png",
"barts2018/slices/Brats18_TCIA10_202_1_t1ce/mri_00078_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00863_img_t1ce.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00863_img_t1.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00863_img_t2.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00863_img_flair.png",
"barts2018/slices/Brats18_TCIA12_101_1_t1ce/mri_00863_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05347_img_t1ce.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05347_img_t1.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05347_img_t2.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05347_img_flair.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05347_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA03_474_1_t1ce/mri_00600_img_t1ce.png",
"barts2018/slices/Brats18_TCIA03_474_1_t1ce/mri_00600_img_t1.png",
"barts2018/slices/Brats18_TCIA03_474_1_t1ce/mri_00600_img_t2.png",
"barts2018/slices/Brats18_TCIA03_474_1_t1ce/mri_00600_img_flair.png",
"barts2018/slices/Brats18_TCIA03_474_1_t1ce/mri_00600_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA13_624_1_t1ce/mri_05535_img_t1ce.png",
"barts2018/slices/Brats18_TCIA13_624_1_t1ce/mri_05535_img_t1.png",
"barts2018/slices/Brats18_TCIA13_624_1_t1ce/mri_05535_img_t2.png",
"barts2018/slices/Brats18_TCIA13_624_1_t1ce/mri_05535_img_flair.png",
"barts2018/slices/Brats18_TCIA13_624_1_t1ce/mri_05535_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01368_img_t1ce.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01368_img_t1.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01368_img_t2.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01368_img_flair.png",
"barts2018/slices/Brats18_TCIA02_370_1_t1ce/mri_01368_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_ABN_1_t1ce/mri_03114_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_ABN_1_t1ce/mri_03114_img_t1.png",
"barts2018/slices/Brats18_CBICA_ABN_1_t1ce/mri_03114_img_t2.png",
"barts2018/slices/Brats18_CBICA_ABN_1_t1ce/mri_03114_img_flair.png",
"barts2018/slices/Brats18_CBICA_ABN_1_t1ce/mri_03114_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA05_444_1_t1ce/mri_04264_img_t1ce.png",
"barts2018/slices/Brats18_TCIA05_444_1_t1ce/mri_04264_img_t1.png",
"barts2018/slices/Brats18_TCIA05_444_1_t1ce/mri_04264_img_t2.png",
"barts2018/slices/Brats18_TCIA05_444_1_t1ce/mri_04264_img_flair.png",
"barts2018/slices/Brats18_TCIA05_444_1_t1ce/mri_04264_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
[
"barts2018/slices/Brats18_TCIA09_451_1_t1ce/mri_00161_img_t1ce.png",
"barts2018/slices/Brats18_TCIA09_451_1_t1ce/mri_00161_img_t1.png",
"barts2018/slices/Brats18_TCIA09_451_1_t1ce/mri_00161_img_t2.png",
"barts2018/slices/Brats18_TCIA09_451_1_t1ce/mri_00161_img_flair.png",
"barts2018/slices/Brats18_TCIA09_451_1_t1ce/mri_00161_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates lower grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AUR_1_t1ce/mri_06423_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AUR_1_t1ce/mri_06423_img_t1.png",
"barts2018/slices/Brats18_CBICA_AUR_1_t1ce/mri_06423_img_t2.png",
"barts2018/slices/Brats18_CBICA_AUR_1_t1ce/mri_06423_img_flair.png",
"barts2018/slices/Brats18_CBICA_AUR_1_t1ce/mri_06423_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AZH_1_t1ce/mri_05764_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AZH_1_t1ce/mri_05764_img_t1.png",
"barts2018/slices/Brats18_CBICA_AZH_1_t1ce/mri_05764_img_t2.png",
"barts2018/slices/Brats18_CBICA_AZH_1_t1ce/mri_05764_img_flair.png",
"barts2018/slices/Brats18_CBICA_AZH_1_t1ce/mri_05764_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06239_img_t1ce.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06239_img_t1.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06239_img_t2.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06239_img_flair.png",
"barts2018/slices/Brats18_CBICA_AQA_1_t1ce/mri_06239_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nWhat glioma grade is shown in the image?"
},
{
"from": "gpt",
"value": "This looks like an MRI image sequence. Let me first trigger <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nWhat glioma grade is shown in the image?."
},
{
"from": "gpt",
"value": "The scan indicates high grade glioma."
}
] |
[
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05366_img_t1ce.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05366_img_t1.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05366_img_t2.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05366_img_flair.png",
"barts2018/slices/Brats18_TCIA13_642_1_t1ce/mri_05366_label.png"
] |
[
{
"from": "human",
"value": "Here is a list of available expert models:\n<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None\n<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'\n<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None\n<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None\nGive the model <NAME(args)> when selecting a suitable expert model.\nT1(contrast enhanced): <image>, T1: <image>, T2: <image>, FLAIR: <image> These are different MRI modalities.\nSegment any tumors in the image"
},
{
"from": "gpt",
"value": "I segmented any brain tumors using <BRATS()>."
},
{
"from": "human",
"value": "The results are <image>. The colors in this image describe\nyellow and red: tumor core, only yellow: enhancing tumor, all colors: whole tumor\nUse this result to respond to this prompt:\nSegment any tumors in the image."
},
{
"from": "gpt",
"value": "All tumors were segmented"
}
] |
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