Mutual learning with reliable pseudo label for semi-supervised medical image segmentation

Jiawei Su, Zhiming Luo, Sheng Lian, Dazhen Lin, Shaozi Li

Abstract: Highlights•We propose a mutual learning method for semi-supervised medical image segmentation.•We suggest using a mutual comparison approach to provide reliable pseudo labels.•We introduce intra-class consistency to evaluate the reliability of pseudo labels.•We achieve state-of-the-art performance on three benchmark datasets.