params.json

{
  "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"
}