Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies

1 code implementation • 17 Feb 2024 • Yifei Chen, Chenyan Zhang, Yifan Ke, Yiyu Huang, Xuezhou Dai, Feiwei Qin, Yongquan Zhang, Xiaodong Zhang, Changmiao Wang

Traditional supervised learning methods have historically encountered certain constraints in medical image segmentation due to the challenging collection process, high labeling cost, low signal-to-noise ratio, and complex features characterizing biomedical images.

Data Augmentation Image Segmentation +2