By modeling which visual layers best explain each diagnostic concept and sparsely fusing multi-layer concept activations, MVP-CBM improves accuracy and interpretability over prior concept bottleneck models on seven medical benchmarks.
Aligning human knowledge with visual concepts towards explainable medical image classification
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MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification
By modeling which visual layers best explain each diagnostic concept and sparsely fusing multi-layer concept activations, MVP-CBM improves accuracy and interpretability over prior concept bottleneck models on seven medical benchmarks.