Furen Xiao 695bbb6e11 refactor(nnu): transition to native volume processing for Pipeline B ... Update the nnU-Net pipeline to operate on native (unprocessed) volumes instead of preprocessed ones. This allows nnU-Net to utilize its own `plan_and_preprocess` logic for resampling, cropping, and normalization, ensuring Pipeline B remains distinct from Pipelines A and C. - Update `scripts/05_build_splits.py` to include native `img` and `label` paths in the manifest rows. - Modify `scripts_nnu/01_nnu_prepare_dataset.py` to symlink native volumes and implement a label fix-up mechanism for non-conforming grids. - Update `scripts_nnu/04_nnu_pseudo_label.py` and `05_nnu_eval_test.py` to use native image paths and perform selection/evaluation in physical mm on the native grid. - Refactor `scripts_nnu/nnu_common.py` to handle native-grid label alignment and volume-based selection gates. - Update `README.md` to document the preprocessing differences between Pipelines A/C and Pipeline B.		2026-09-26 12:44:40 +08:00
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trainers	docs(readme): update project documentation and directory structure	2026-09-26 06:45:36 +08:00
01_nnu_prepare_dataset.py	refactor(nnu): transition to native volume processing for Pipeline B	2026-09-26 12:44:40 +08:00
02_nnu_plan_preprocess.py	docs(readme): update project documentation and directory structure	2026-09-26 06:45:36 +08:00
03_nnu_train.py	docs(readme): update project documentation and directory structure	2026-09-26 06:45:36 +08:00
04_nnu_pseudo_label.py	refactor(nnu): transition to native volume processing for Pipeline B	2026-09-26 12:44:40 +08:00
05_nnu_eval_test.py	refactor(nnu): transition to native volume processing for Pipeline B	2026-09-26 12:44:40 +08:00
06_nnu_run_iterative.py	refactor(nnu): transition to native volume processing for Pipeline B	2026-09-26 12:44:40 +08:00
nnu_common.py	refactor(nnu): transition to native volume processing for Pipeline B	2026-09-26 12:44:40 +08:00