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Simplifying deep learning for medical imaging
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refactor: decompose PatchInferenceEngine.predict into pipelined stages (#69)
e3d3f4bView on GitHubfeat: add preprocessed mode to PatchConfig, preserve original columns in preprocess_dataset; bump to 0.8.2 (#68)
4e8654fView on GitHubfeat: add GPU patch augmentation, dataset preprocessing, and augmentation refactoring (#67)
76757cdView on GitHubfeat: add patch_size divisibility warning, improve MLflow checkpoint detection (#65)
b2bdd07View on GitHubfeat: add TTA, EMA checkpointing, RandomAnisotropy; bump to 0.8.0 (#64)
63117b8View on GitHubfeat: add dataset caching/fingerprinting, improve MLflow artifact management (#63)
2a0cbb3View on GitHubchore: bump version to 0.7.0 and run nbdev_prepare (#62)
2ecd257View on GitHubfeat: add show_batch for patch DataLoaders, improve MLflow logging, a… (#61)
2fc5eaeView on GitHubrefactor: remove SpatialPad, ensure patch size fits all volumes (#60)
7c0444dView on GitHubrefactor: simplify transform encodes by removing complex handling (#59)
9ac0fa0View on GitHubfeat: add SpatialPad transform and automatic padding for patch-based training (#58)
9d5f95eView on GitHubfeat: add RandomCutout augmentation and enhance utils (#57)
8b175f5View on GitHub