Abstract: Highlights•A framework automatically performs model diagnosis, repairing, and enhancement.•Introduce selective filter restraining to alleviate the misclassified features.•Introduce sample-specific fine-tuning to promote category-wise feature learning.•The Self-Optimizing framework is a versatile module for medical image classifiers.
External IDs:dblp:journals/displays/LeiYWFL23
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