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Preprint Oct 2026

Decouple, Purify and Unite: Semantic-Structural Prototype Learning for Federated Medical Segmentation

Federated learning enables medical institutions to train a global model without sharing data, yet feature heterogeneity from diverse scanners or protocols remains challenging. Existing representation-based methods face two limitations: 1) Incomplete Contextual Representation Learning: single-layer or coupled representa...

Xing-Yue Zhao, Wen-Ke Huang, Ling-Hao Zhuang et al. · 0 citations
Sep 2026

SlideChat is a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types

SlideChat, a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types, outperformed leading baselines in closed-ended accuracy and report-generation Metric for Evaluation of Translation with Explicit Ordering score and received the highest expert ratings across...

Ying Chen, Chenglong Ma, Qiong-Qiong Li et al. · 2 citations

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