Masked pre‐training and pseudo‐vessel enhancement‐based semi‐supervised cerebral vascular segmentation

The proposed semi-supervised framework enables accurate cerebrovascular segmentation with minimal labeled data. It effectively enhances small vessel continuity, reduces over-segmentation from noise, and demonstrates strong robustness and generalizability, making it a promising solution for real-world clinical applications.