Enhancing deep learning interpretability for hand-crafted feature-guided histologic image classification via weak-to-strong generalization
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Purpose: Deep learning (DL) models have achieved promising performance in histologic whole-slide image analysis for various clinical applications. However, their black-box nature hinders the interpretability of DL features for cl... ...
