Upload pancreas_ct_dints_segmentation version 0.5.2
Browse files- configs/metadata.json +5 -4
configs/metadata.json
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@@ -1,7 +1,8 @@
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{
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"schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
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"version": "0.5.
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"changelog": {
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"0.5.1": "update to huggingface hosting",
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"0.5.0": "use monai 1.4 and update large files",
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"0.4.9": "update to use monai 1.3.1",
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"tensorboard": "2.17.0"
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},
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"supported_apps": {},
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"name": "Pancreas
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"task": "
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"description": "
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"authors": "MONAI team",
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"copyright": "Copyright (c) MONAI Consortium",
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"data_source": "Task07_Pancreas.tar from http://medicaldecathlon.com/",
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{
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"schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
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"version": "0.5.2",
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"changelog": {
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"0.5.2": "enhance metadata with improved descriptions",
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"0.5.1": "update to huggingface hosting",
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"0.5.0": "use monai 1.4 and update large files",
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"0.4.9": "update to use monai 1.3.1",
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"tensorboard": "2.17.0"
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},
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"supported_apps": {},
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"name": "Pancreas and Tumor DiNTS Segmentation",
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"task": "Pancreas and Pancreatic Tumor Segmentation in CT Images",
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"description": "A 3D segmentation model optimized through Neural Architecture Search (DiNTS) that processes 96x96x96 pixel patches from CT scans to segment pancreas and pancreatic tumors. The model architecture was automatically discovered to balance accuracy and computational efficiency, achieving a mean Dice score of 0.62 across both structures.",
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"authors": "MONAI team",
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"copyright": "Copyright (c) MONAI Consortium",
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"data_source": "Task07_Pancreas.tar from http://medicaldecathlon.com/",
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