Reliable semi-supervised mutual learning framework for medical image segmentation

Wenlong Hang, Kui Bai, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin

Abstract: Highlights•Novel reliable semi-supervised mutual learning framework (RSSML) for medical image segmentation.•Novel recombination-and-recovery-based data augmentation addresses empirical distribution mismatch issue.•Novel supervised discordance relearning regularization leverages reliable knowledge obtained from limited labeled data.•Novel reliability-aware cross pseudo supervision regularization selects only the reliable pseudo-labels for cross supervision.