| { | |
| "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json", | |
| "version": "0.1.6", | |
| "changelog": { | |
| "0.1.6": "add RAM usage with CacheDataset and GPU consumtion warning", | |
| "0.1.5": "fix mgpu finalize issue", | |
| "0.1.4": "Update README Formatting", | |
| "0.1.3": "add non-deterministic note", | |
| "0.1.2": "Update figure with links", | |
| "0.1.1": "adapt to BundleWorkflow interface and val metric", | |
| "0.1.0": "complete the model package", | |
| "0.0.1": "initialize the model package structure" | |
| }, | |
| "monai_version": "1.2.0rc4", | |
| "pytorch_version": "1.13.1", | |
| "numpy_version": "1.22.2", | |
| "optional_packages_version": { | |
| "nibabel": "4.0.1", | |
| "pytorch-ignite": "0.4.9" | |
| }, | |
| "name": "Whole body CT segmentation", | |
| "task": "TotalSegmentator Segmentation", | |
| "description": "A pre-trained SegResNet model for volumetric (3D) segmentation of the 104 whole body segments", | |
| "authors": "MONAI team", | |
| "copyright": "Copyright (c) MONAI Consortium", | |
| "data_source": "TotalSegmentator", | |
| "data_type": "nibabel", | |
| "image_classes": "104 foreground channels, 0 channel for the background, intensity scaled to [0, 1]", | |
| "label_classes": "0 is the background, others are whole body segments", | |
| "pred_classes": "0 is the background, 104 other chanels are whole body segments", | |
| "eval_metrics": { | |
| "mean_dice": 0.8 | |
| }, | |
| "intended_use": "This is an example, not to be used for diagnostic purposes", | |
| "references": [ | |
| "Wasserthal, J., Meyer, M., Breit, H.C., Cyriac, J., Yang, S. and Segeroth, M., 2022. TotalSegmentator: robust segmentation of 104 anatomical structures in CT images. arXiv preprint arXiv:2208.05868.", | |
| "Myronenko, A., Siddiquee, M.M.R., Yang, D., He, Y. and Xu, D., 2022. Automated head and neck tumor segmentation from 3D PET/CT. arXiv preprint arXiv:2209.10809.", | |
| "Tang, Y., Gao, R., Lee, H.H., Han, S., Chen, Y., Gao, D., Nath, V., Bermudez, C., Savona, M.R., Abramson, R.G. and Bao, S., 2021. High-resolution 3D abdominal segmentation with random patch network fusion. Medical image analysis, 69, p.101894." | |
| ], | |
| "network_data_format": { | |
| "inputs": { | |
| "image": { | |
| "type": "image", | |
| "format": "hounsfield", | |
| "modality": "CT", | |
| "num_channels": 1, | |
| "spatial_shape": [ | |
| 96, | |
| 96, | |
| 96 | |
| ], | |
| "dtype": "float32", | |
| "value_range": [ | |
| 0, | |
| 1 | |
| ], | |
| "is_patch_data": true, | |
| "channel_def": { | |
| "0": "image" | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "pred": { | |
| "type": "image", | |
| "format": "segmentation", | |
| "num_channels": 105, | |
| "spatial_shape": [ | |
| 96, | |
| 96, | |
| 96 | |
| ], | |
| "dtype": "float32", | |
| "value_range": [ | |
| 0, | |
| 104 | |
| ], | |
| "is_patch_data": true, | |
| "channel_def": { | |
| "0": "background", | |
| "1": "spleen", | |
| "2": "kidney_right", | |
| "3": "kidney_left", | |
| "4": "gallbladder", | |
| "5": "liver", | |
| "6": "stomach", | |
| "7": "aorta", | |
| "8": "inferior_vena_cava", | |
| "9": "portal_vein_and_splenic_vein", | |
| "10": "pancreas", | |
| "11": "adrenal_gland_right", | |
| "12": "adrenal_gland_left", | |
| "13": "lung_upper_lobe_left", | |
| "14": "lung_lower_lobe_left", | |
| "15": "lung_upper_lobe_right", | |
| "16": "lung_middle_lobe_right", | |
| "17": "lung_lower_lobe_right", | |
| "18": "vertebrae_L5", | |
| "19": "vertebrae_L4", | |
| "20": "vertebrae_L3", | |
| "21": "vertebrae_L2", | |
| "22": "vertebrae_L1", | |
| "23": "vertebrae_T12", | |
| "24": "vertebrae_T11", | |
| "25": "vertebrae_T10", | |
| "26": "vertebrae_T9", | |
| "27": "vertebrae_T8", | |
| "28": "vertebrae_T7", | |
| "29": "vertebrae_T6", | |
| "30": "vertebrae_T5", | |
| "31": "vertebrae_T4", | |
| "32": "vertebrae_T3", | |
| "33": "vertebrae_T2", | |
| "34": "vertebrae_T1", | |
| "35": "vertebrae_C7", | |
| "36": "vertebrae_C6", | |
| "37": "vertebrae_C5", | |
| "38": "vertebrae_C4", | |
| "39": "vertebrae_C3", | |
| "40": "vertebrae_C2", | |
| "41": "vertebrae_C1", | |
| "42": "esophagus", | |
| "43": "trachea", | |
| "44": "heart_myocardium", | |
| "45": "heart_atrium_left", | |
| "46": "heart_ventricle_left", | |
| "47": "heart_atrium_right", | |
| "48": "heart_ventricle_right", | |
| "49": "pulmonary_artery", | |
| "50": "brain", | |
| "51": "iliac_artery_left", | |
| "52": "iliac_artery_right", | |
| "53": "iliac_vena_left", | |
| "54": "iliac_vena_right", | |
| "55": "small_bowel", | |
| "56": "duodenum", | |
| "57": "colon", | |
| "58": "rib_left_1", | |
| "59": "rib_left_2", | |
| "60": "rib_left_3", | |
| "61": "rib_left_4", | |
| "62": "rib_left_5", | |
| "63": "rib_left_6", | |
| "64": "rib_left_7", | |
| "65": "rib_left_8", | |
| "66": "rib_left_9", | |
| "67": "rib_left_10", | |
| "68": "rib_left_11", | |
| "69": "rib_left_12", | |
| "70": "rib_right_1", | |
| "71": "rib_right_2", | |
| "72": "rib_right_3", | |
| "73": "rib_right_4", | |
| "74": "rib_right_5", | |
| "75": "rib_right_6", | |
| "76": "rib_right_7", | |
| "77": "rib_right_8", | |
| "78": "rib_right_9", | |
| "79": "rib_right_10", | |
| "80": "rib_right_11", | |
| "81": "rib_right_12", | |
| "82": "humerus_left", | |
| "83": "humerus_right", | |
| "84": "scapula_left", | |
| "85": "scapula_right", | |
| "86": "clavicula_left", | |
| "87": "clavicula_right", | |
| "88": "femur_left", | |
| "89": "femur_right", | |
| "90": "hip_left", | |
| "91": "hip_right", | |
| "92": "sacrum", | |
| "93": "face", | |
| "94": "gluteus_maximus_left", | |
| "95": "gluteus_maximus_right", | |
| "96": "gluteus_medius_left", | |
| "97": "gluteus_medius_right", | |
| "98": "gluteus_minimus_left", | |
| "99": "gluteus_minimus_right", | |
| "100": "autochthon_left", | |
| "101": "autochthon_right", | |
| "102": "iliopsoas_left", | |
| "103": "iliopsoas_right", | |
| "104": "urinary_bladder" | |
| } | |
| } | |
| } | |
| } | |
| } | |