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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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マルチモダルの心臓画像とリスクの階層化のための解釈可能な半連盟学習:プライバシー保護の枠組み

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
まとめ

PerFed-Cardioは新しい半連結学習システムで 患者のマルチモダルのデータを用いて リアルタイムで 心血管リスクの階層化を可能にします プライバシーを守るこのアプローチは,スケーラブルな心臓ケアのためのモデルの正確性と解釈性を高めます.

キーワード:
心臓リスクの予測エッジパーソナライゼーション説明可能なAIグラッド・CAMLIME について軽量なCNN地元での注意マルチモダルの融合セミフェデラートな学習

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