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Zi-Xuan Tang

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SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation

SGP-SAM, a self-gated prompting framework for efficient and effective transfer to 3D lesion segmentation, and a Zoom Loss that up-weights lesion-focused supervision by combining Dice and a voxel-balanced focal term to address small-lesion learning.

Ze-Quan Yao, Zi-Xuan Tang, Jie Ma et al. · 0 citations

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