longitudinal/scripts_nnu
Furen Xiao a516408c4e Add iterative pseudo-labeling scripts for MONAI and nnU-Net
- Implemented 09_run_iterative.py for MONAI to orchestrate iterative pseudo-labeling rounds, including training, predicting, and evaluation.
- Created 01_prepare_dataset.py, 02_plan_preprocess.py, 06_pseudo_label.py, 07_train.py, 08_eval.py, and 09_run_iterative.py for nnU-Net to manage dataset preparation, planning, training, evaluation, and iterative pseudo-labeling.
- Enhanced error handling and logging throughout the scripts for better traceability.
- Added functionality to handle negative pseudo-labels and TTA options during inference.
- Included visualization of Dice scores across rounds for both MONAI and nnU-Net.
2026-10-08 06:13:13 +08:00
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trainers docs(readme): update project documentation and directory structure 2026-09-26 06:45:36 +08:00
01_prepare_dataset.py Add iterative pseudo-labeling scripts for MONAI and nnU-Net 2026-10-08 06:13:13 +08:00
02_plan_preprocess.py Add iterative pseudo-labeling scripts for MONAI and nnU-Net 2026-10-08 06:13:13 +08:00
06_pseudo_label.py Add iterative pseudo-labeling scripts for MONAI and nnU-Net 2026-10-08 06:13:13 +08:00
07_train.py Add iterative pseudo-labeling scripts for MONAI and nnU-Net 2026-10-08 06:13:13 +08:00
08_eval.py Add iterative pseudo-labeling scripts for MONAI and nnU-Net 2026-10-08 06:13:13 +08:00
09_run_iterative.py Add iterative pseudo-labeling scripts for MONAI and nnU-Net 2026-10-08 06:13:13 +08:00
nnu_common.py feat(benchmark): update benchmarking scripts with enhanced loss functions and dataset handling 2026-10-06 05:47:03 +08:00