Leilei Ma

Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective

The scarcity of annotated medical imaging data has driven significant progress in semi-supervised learning to alleviate reliance on expensive expert labeling. While foundational vision models such as the Segment Anything Model (SAM) exhibit robust generalization in generic segmentation tasks, their…