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.
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