Jianwu Long

OaCMatch: Semi-supervised medical image segmentation network based on unlabeled information constraints and joint feature perturbation

OaCMatch is proposed, a novel weak-to-strong consistency framework that explicitly leverages raw unlabeled image information into consistency learning, and consistently outperforms existing semi-supervised approaches across multiple evaluation metrics.