Anti-Forgetting Adaptive Teacher-Driven Knowledge Distillation for Medical Image Classification
Deep neural networks (DNNs) have achieved remarkable success in medical image classification, yet their performance remains sensitive to dataset size. Knowledge distillation (KD) alleviates this issue by transferring knowledge from a high-capacity teacher to a lightweight student. However, conventional KD relies on a s...