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Updated: Jan 29, 2026

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在混合IVUS-OCT图像中基于深度学习的斑块表征优于单模深度学习分析和人类专家的单模深度学习分析:与组织学的头对头比较

Retesh Bajaj1,2,3, Xingru Huang4, Natasha Alves-Kotzev5

  • 1Department of Cardiology, St Michael's Hospital, Toronto, Canada.

Cardiovascular research
|January 28, 2026
PubMed
概括

在组织学数据上训练的新型深度学习 (DL) 分类器改善了混合血管内超声波光学连贯断层扫描 (IVUS-OCT) 图像中的斑块特征. 这种先进的DL模型在分类斑块组件和表型方面优于单模式DL分类器和专家分析师.

关键词:
血管内超声波 血管内超声波机器学习是机器学习.光学连贯性断层扫描仪斑块的表征 斑块的表征

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