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BRIGHT model advances breast pathology with generalist-specialist framework · arXiv research

Researchers have developed BRIGHT, a novel foundation model specifically tailored for breast pathology. This model integrates a collaborative generalist-specialist framework, leveraging over 51,000 breast whole-slide images from numerous hospitals and patients. BRIGHT demonstrates superior performance compared to existing generalist pathology foundation models, achieving state-of-the-art results across 25 distinct clinical tasks within breast oncology, including diagnosis and survival prediction. AI

IMPACT This specialized model could significantly improve diagnostic accuracy and treatment prediction in breast pathology.

RANK_REASON The cluster contains an arXiv preprint detailing a new model and its performance on specific tasks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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BRIGHT model advances breast pathology with generalist-specialist framework · arXiv research

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Xiaojing Guo, Jiatai Lin, Yumian Jia, Jingqi Huang, Zeyan Xu, Weidong Li, Longfei Wang, Jingjing Chen, Qin Li, Weiwei Wang, Lifang Cui, Wen Yue, Zhiqiang Cheng, Xiaolong Wei, Jianzhong Yu, Xia Jin, Baizhou Li, Honghong Shen, Jing Li, Chunlan Li, Yanfen C… ·

    BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology

    arXiv:2603.03030v2 Announce Type: replace Abstract: Generalist pathology foundation models (PFMs), pretrained on large-scale multi-organ datasets, have demonstrated remarkable predictive capabilities across diverse clinical applications. However, their proficiency on the full spe…