A concept-based medical image classifier that learns explicit Boolean rules from binary visual concepts, improving out-of-distribution accuracy while keeping predictions interpretable.
IEEE Transactions on Pattern Analysis and Machine Intelligence45(4), 4321–4334 (2023)
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Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
A concept-based medical image classifier that learns explicit Boolean rules from binary visual concepts, improving out-of-distribution accuracy while keeping predictions interpretable.