Furen Xiao 33bc3c603f refactor(core): improve data pipeline robustness and manifest generation ... Refactor the data loading and preprocessing pipeline to handle edge cases in medical imaging data, including NaN/Inf values, shape mismatches, and numerical instability during training. - Update `01_build_ntuh_manifest.py` with improved regex for T1c detection, spine exclusion, and deduplication logic based on acquisition timestamps. - Enhance `PatchDataset` in `src/dataset.py` to handle NaN/Inf values, clip intensity ranges, and ensure label/image shape alignment via padding/trimming. - Add a zero-gradient fallback in `src/training.py` to prevent DDP synchronization failures when encountering NaN/Inf losses. - Add `scripts/scan_procs.py` for process monitoring. - Increase DataLoader timeout to prevent hangs during heavy I/O.		2026-09-25 22:12:32 +08:00
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01_build_ntuh_manifest.py	refactor(core): improve data pipeline robustness and manifest generation	2026-09-25 22:12:32 +08:00
02_build_m6_dataset.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
03_scan_lee_t1c.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
04_reconstruct_lee.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
05_build_splits.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
06_pseudo_label.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
07_train.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
08_eval.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
09_run_iterative.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
preprocess.py	feat: initial project structure	2026-09-25 16:00:37 +08:00
scan_procs.py	refactor(core): improve data pipeline robustness and manifest generation	2026-09-25 22:12:32 +08:00