Author

Jie-Si Hu

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Jul 2026

UniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image Segmentation

UniMedSeg is proposed, a Transformer-centric universal segmentation framework that maps visual examples, geometric interactions, language instructions, and 2D/3D images into a shared sequence space, enabling heterogeneous medical supervision to be jointly learned through a unified in-context interface without prompt- o...

Yunzhou Li, Jie-Si Hu, Yan-Wu Yang et al. · arXiv.org · 0 citations