Beat nnU-Net #168
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Beat nnU-Net #168
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…onTrainer` to optimize loss computation and simplify overrides. (#133)
…UNetTrainer` and added `DiceBCELossWithLogits` as the loss criterion. (#133)
…ted `num_classes` in `UNetTrainer` to 5. (#133)
…resize256`, `roi`) and introduced `UNetSlidingTrainer` for sliding window training. (#133)
…ction naming. (#133)
… zero-padding in sliding window filenames. (#192)
…atibility with default behavior. (#192)
…, enhancing dataset processing visibility. (#192)
…ding in datasets, and enhanced sliding window handling with `TensorLoader`. (#192)
…dataset preparation in `benchmark.py`. (#133)
… updated the import statement to include the relevant functionality. (#192)
…mplementation with TODOs for patch loading and reconstruction logic. (#192)
…mplementation with TODOs for patch loading and reconstruction logic. (#192)
…nsors. Updated imports. (#133)
…form, modified patch shape usage, and adjusted batch sizes for training and validation loaders. (#133)
… wrapping `PadTo`, streamlining transform composition. (#133)
…with pipeline requirements. (#133)
…pipeline in `benchmark.py` for sliding window preprocessing and dataset handling. (#133)
…aced manual list sorting with `sorted` for improved clarity and efficiency across datasets. (#192)
…validation datasets, and extended imports for dataset integration in segmentation presets. (#192)
… added `images` and `labels` methods, and adjusted `MergedDataset` initialization. (#192)
…ation preset validation logic. (#192)
…ingTrainer` in `unet.py`. (#133)
…er methods, updated validation logic to leverage encapsulation. (#192)
… to `o_val` for clarity and added `set_validation_datasets` call in `UNetTrainer`. (#133)
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See #133.