Style-KD: Class-imbalanced medical image classification via style knowledge distillation

Inhyuk Park, Won Hwa Kim, Jongbin Ryu

Abstract: Highlights•We propose the auxiliary images based training algorithm to tackle the class imbalance problem in medical image classification.•We introduce a distillation algorithm to effectively learn auxiliary images.•We demonstrate that our proposed method performs well on class imbalanced medical image classification datasets.