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Tian-Yin Shao

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Sep 2026

Adaptation of Segment Anything Model enhanced by contrastive-manifold-regularised SSL and YOLO prompting for liver tumour segmentation.

MED-SAM is presented, a 2D semi-supervised framework employing the medical SAM adapter (Med-SA), trained with contrastive manifold regularisation and YOLO-guided click prompts, indicating that MED-SAM can support treatment-planning workflows in hepatobiliary surgery while addressing the challenges of scarce annotations...

Cong-Bin Zhu, Hui Zhu, Qi-Liang Wang et al. · 0 citations

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