{
"common_experiences": [
"Notice that when asked to segment the left or right part (e.g., kidney_right), do not provide the entire target (kidney) but rather the specific part (kidney_right).",
"Ensure that only labels mentioned in the task are included, excluding any unnecessary or unrelated labels even similar or related."
],
"experts": [
{
"name": "HEAD",
"datasets": ["BraTS21", "ISLES22", "ISLES22_ATLAS", "Instance22", "HECKTOR2022", "SegRap2023_Task1", "SegRap2023_Task2"],
"profile": "Specializes in head and neck imaging, including organs, lesions, tumors, and lymph nodes in this region.",
"expert_experiences": [
]
},
{
"name": "CARDIAC",
"datasets": ["MM-WHS", "MMs", "ImageCAS"],
"profile": "Expert in cardiac imaging, including cardiac chambers, vessels, and related structures like pulmonary artery",
"expert_experiences": [
"When segmenting the heart, leverage all available related labels in the dataset to provide comprehensive context."
]
},
{
"name": "ABDOMINAL",
"datasets": ["AMOS22_Task2", "FLARE22", "AbdomenAtlasMini", "KiTS23", "Adrenal-ACC-Ki67-Seg", "LiTS", "WORD"],
"profile": "Specializes in abdominal organ segmentation, such as liver, kidney, and adrenal glands. ",
"expert_experiences": [
"The KiTS23 dataset contain kidneys segmentation but you should choose the right label value",
"Masses and cysts are distinct entities."
]
},
{
"name": "THORACIC",
"datasets": ["ATM22", "Parse22"],
"profile": "Focuses on thoracic imaging, including lungs and mediastinal organs. ",
"expert_experiences": [
]
},
{
"name": "WHOLEBODY",
"datasets": ["CT-ORG", "TotalSegmentator_v2", "TotalSegmentator_MRI", "AutoPET"],
"profile": "Proficient in full-body scan analysis, covering multi-organ segmentation and whole-body tumor segmentation.",
"expert_experiences": [
"Masses and cysts are distinct entities."
]
}
]
}