H11-M01_數位病理全玻片影像二元分類器

Abstract

we propose, RankMix, a data augmentation method of mixing ranked features in a pair of WSIs. RankMix introduces the concepts of pseudo labeling and ranking in order to extract key WSI regions in contributing to the WSI classification task. A two-stage training is further proposed to boost stable training and model performance.

Citation

Yuan-Chih Chen, and Chun-Shien Lu. "RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.