{ "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json", "version": "0.5.7", "changelog": { "0.5.7": "change sw padding mode to replicate", "0.5.6": "add mlflow support", "0.5.5": "add arg for trt compiler base path", "0.5.4": "add undefined label prompt check", "0.5.3": "update readme", "0.5.2": "fix eval issue", "0.5.1": "add description for zero-shot and upate eval", "0.5.0": "update json file link and add test", "0.4.9": "fix oom issue and update readme", "0.4.8": "use 0.3 overlap for inference", "0.4.7": "update tensorrt benchmark results", "0.4.6": "add tensorrt benchmark result and remove the metric part", "0.4.5": "remove wrong path", "0.4.4": "enable tensorrt inference", "0.4.3": "fix CL and batch infer issues", "0.4.2": "use MONAI components for network and utils", "0.4.1": "initial OSS version" }, "monai_version": "1.4.0", "pytorch_version": "2.4.0", "numpy_version": "1.24.4", "required_packages_version": { "matplotlib": "3.9.1", "einops": "0.7.0", "scikit-image": "0.23.2", "nibabel": "5.2.1", "pytorch-ignite": "0.4.11", "cucim-cu12": "24.6.0", "mlflow": "2.17.2" }, "supported_apps": { "vista3d-nim": "" }, "name": "VISTA3D", "task": "Decathlon Spleen segmentation", "description": "VISTA3D bundle", "authors": "MONAI team", "copyright": "Copyright (c) MONAI Consortium", "data_source": "Task09_Spleen.tar from http://medicaldecathlon.com/", "data_type": "nibabel", "image_classes": "1 channel data, intensity scaled to [0, 1]", "label_classes": "single channel data", "pred_classes": "2 channels OneHot data", "intended_use": "This is an example, not to be used for diagnostic purposes", "references": [], "network_data_format": { "inputs": { "image": { "type": "image", "format": "hounsfield", "modality": "CT", "num_channels": 1, "spatial_shape": [ 128, 128, 128 ], "dtype": "float32", "value_range": [ 0, 1 ], "is_patch_data": true, "channel_def": { "0": "image" } } }, "outputs": { "pred": { "type": "image", "format": "segmentation", "num_channels": 1, "spatial_shape": [ 128, 128, 128 ], "dtype": "float32", "value_range": [ 0, 1 ], "is_patch_data": true, "channel_def": { "0": "background", "1": "liver", "2": "kidney", "3": "spleen", "4": "pancreas", "5": "right kidney", "6": "aorta", "7": "inferior vena cava", "8": "right adrenal gland", "9": "left adrenal gland", "10": "gallbladder", "11": "esophagus", "12": "stomach", "13": "duodenum", "14": "left kidney", "15": "bladder", "16": "prostate or uterus", "17": "portal vein and splenic vein", "18": "rectum", "19": "small bowel", "20": "lung", "21": "bone", "22": "brain", "23": "lung tumor", "24": "pancreatic tumor", "25": "hepatic vessel", "26": "hepatic tumor", "27": "colon cancer primaries", "28": "left lung upper lobe", "29": "left lung lower lobe", "30": "right lung upper lobe", "31": "right lung middle lobe", "32": "right lung lower lobe", "33": "vertebrae L5", "34": "vertebrae L4", "35": "vertebrae L3", "36": "vertebrae L2", "37": "vertebrae L1", "38": "vertebrae T12", "39": "vertebrae T11", "40": "vertebrae T10", "41": "vertebrae T9", "42": "vertebrae T8", "43": "vertebrae T7", "44": "vertebrae T6", "45": "vertebrae T5", "46": "vertebrae T4", "47": "vertebrae T3", "48": "vertebrae T2", "49": "vertebrae T1", "50": "vertebrae C7", "51": "vertebrae C6", "52": "vertebrae C5", "53": "vertebrae C4", "54": "vertebrae C3", "55": "vertebrae C2", "56": "vertebrae C1", "57": "trachea", "58": "left iliac artery", "59": "right iliac artery", "60": "left iliac vena", "61": "right iliac vena", "62": "colon", "63": "left rib 1", "64": "left rib 2", "65": "left rib 3", "66": "left rib 4", "67": "left rib 5", "68": "left rib 6", "69": "left rib 7", "70": "left rib 8", "71": "left rib 9", "72": "left rib 10", "73": "left rib 11", "74": "left rib 12", "75": "right rib 1", "76": "right rib 2", "77": "right rib 3", "78": "right rib 4", "79": "right rib 5", "80": "right rib 6", "81": "right rib 7", "82": "right rib 8", "83": "right rib 9", "84": "right rib 10", "85": "right rib 11", "86": "right rib 12", "87": "left humerus", "88": "right humerus", "89": "left scapula", "90": "right scapula", "91": "left clavicula", "92": "right clavicula", "93": "left femur", "94": "right femur", "95": "left hip", "96": "right hip", "97": "sacrum", "98": "left gluteus maximus", "99": "right gluteus maximus", "100": "left gluteus medius", "101": "right gluteus medius", "102": "left gluteus minimus", "103": "right gluteus minimus", "104": "left autochthon", "105": "right autochthon", "106": "left iliopsoas", "107": "right iliopsoas", "108": "left atrial appendage", "109": "brachiocephalic trunk", "110": "left brachiocephalic vein", "111": "right brachiocephalic vein", "112": "left common carotid artery", "113": "right common carotid artery", "114": "costal cartilages", "115": "heart", "116": "left kidney cyst", "117": "right kidney cyst", "118": "prostate", "119": "pulmonary vein", "120": "skull", "121": "spinal cord", "122": "sternum", "123": "left subclavian artery", "124": "right subclavian artery", "125": "superior vena cava", "126": "thyroid gland", "127": "vertebrae S1", "128": "bone lesion", "129": "kidney mass", "130": "liver tumor", "131": "vertebrae L6", "132": "airway" } } } } }