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Updated: Feb 6, 2026

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下一层:在计算病理学中增强基础模型,以结构保存和注意引导式学习为本地补丁,以提高全球上下文意识

Muhammad Waqas1, Rukhmini Bandyopadhyay1, Eman Showkatian1

  • 1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

NPJ precision oncology
|February 4, 2026
PubMed
概括

通过整合空间结构和局部环境,EAGLE-Net增强了计算病理学的基础模型. 这种以注意为导向的多重实例学习 (MIL) 框架提高了癌症分析中的诊断准确性和可解释性.

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