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