Adaptive concept rule learning for interpretable and generalizable medical image classification.
The pursuit of decision safety in clinical applications calls for medical image classification models that are not only accurate but also transparent enough for clinicians to audit the visual evidence and decision logic behind each diagnosis. Existing concept-based models ground predictions in human-interpretable conce...