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cs.CV2026
SAIF: A Stability-Aware Inference Framework for Medical Image Segmentation with Segment Anything Model
Ke Wu, Shiqi Chen, Yiheng Zhong +5
Segment Anything Model (SAM) enable scalable medical image segmentation but suffer from inference-time instability when deployed as a frozen backbone. In practice, bounding-box pro…
cs.CV2026
Semantic Class Distribution Learning for Debiasing Semi-Supervised Medical Image Segmentation
Yingxue Su, Yiheng Zhong, Keying Zhu +7
Medical image segmentation is critical for computer-aided diagnosis. However, dense pixel-level annotation is time-consuming and costly, and medical datasets often exhibit severe c…