Improving Parameter-Efficient Medical Image Classification with Lesion-Aware Hierarchical Knowledge Distillation
Compact deep models are attractive for medical image classification, but conventional knowledge distillation mainly transfers class-level predictions and may not adequately preserve lesion-relevant spatial cues. To address this limitation, we propose LaHKD, a lesion-aware hierarchical knowledge distillation framework f...