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Updated: Sep 8, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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多模式心脏成像和风险分层的可解释半联合学习:保护隐私的框架

XianFang Liu1, ShunLei Li2, Qin Zhu3

  • 1Heart Center, Department of Cardiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.

Journal of imaging informatics in medicine
|September 5, 2025
PubMed
概括

一个新的半联合学习系统PerFed-Cardio使用多模式患者数据提供实时心血管风险分层. 这种保护隐私的方法提高了可扩展的心脏护理模型的准确性和可解释性.

关键词:
预测心脏风险边缘个性化可以解释的AI一个Grad-CAM美国轻量级的CNN当地关注多模式融合半联合学习

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