Multi-annotation agreement and prediction consistency networks: Improving semi-supervised segmentation of medical images with ambiguous boundaries
Published in Artificial Intelligence in Medicine, 2026
This paper studies ambiguous boundary segmentation using a small amount of multi-annotated data and a larger set of unannotated images.
Recommended citation: Wang, Shuai*, Tengjin Weng*, Jingyi Wang, Kai Zhao, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaoqi Sun, and Yaqi Wang. (2026). "Multi-annotation agreement and prediction consistency networks: Improving semi-supervised segmentation of medical images with ambiguous boundaries." Artificial Intelligence in Medicine, 171, 103289. *Equal contribution.
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