Qiu-Chi He

Collaborative Boundary Enhancement With Difficulty Awareness for Semi-Supervised Medical Image Segmentation

Semi-supervised medical image segmentation aims to reduce the burden of manual annotation by leveraging a limited set of labeled data along with a large collection of unlabeled images, while maintaining reliable segmentation performance for clinical use. However, most existing methods neglect the consistency of boundar...