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Xiaoyan Li

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Conference Aug 2026

Transferring SAM-pretrained 2D ViTs for semi-supervised 3D medical image segmentation

Experimental results show that the approach outperforms the state-of-the-art on the Pancreas-CT dataset by a large margin and enables rapid transfer learning from 2D-pretrained models to 3D medical tasks with few labeled data, making it especially valuable for rare disease diagnosis.

Ruize Shi, Xiao-Yan Li, Bo-Yue Wang et al. · 0 citations

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