Image Segmentation
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Add params.json (model metadata; also the Hub download-count query file)

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  1. params.json +26 -0
params.json ADDED
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+ {
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+ "framework": "nnU-Net v2.5 (custom fork: nnUNet_hti_cbdc_nnUNet_v2.5)",
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+ "task": "multi-class aorta segmentation in CTA (AortaSeg24 challenge)",
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+ "pipeline": "two-stage: 3d_lowres binary aorta localization -> ROI (scaling factor m=2.0) -> 3d_fullres 24-class segmentation",
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+ "checkpoint_name": "checkpoint_final.pth",
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+ "datasets": {
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+ "Dataset825_AortaSeg24_CTA_bin_50": {
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+ "stage": 1,
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+ "configuration": "3d_lowres",
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+ "num_classes": 2,
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+ "folds": ["0", "all"],
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+ "trainer": "nnUNetTrainer_CE_DC_CBDC_NoMirroring_500epochs"
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+ },
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+ "Dataset824_AortaSeg24_CTA_50": {
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+ "stage": 2,
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+ "configuration": "3d_fullres",
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+ "num_classes": 24,
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+ "folds": ["0", "1", "2", "3", "4", "all"],
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+ "trainer": "nnUNetTrainer_Hierarchical_CBDC_AortaSeg23_NoMirroring_500epochs"
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+ }
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+ },
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+ "layout": "mirrors nnUNet_results/ and can be downloaded directly into it",
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+ "code": "https://github.com/PengchengShi1220/AortaSeg24",
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+ "citation": "arXiv:2511.14187",
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+ "license": "apache-2.0"
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+ }