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Updated: Jun 18, 2026

A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology
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基于深度学习的冠状动脉斑块超声波图像检测和分类研究

Hongzhen Zhang1, Feng Zhao2

  • 1Precision Medicine Innovation Institute, Anhui University of Science and Technology, 232001 Huainan, Anhui, China.

Reviews in cardiovascular medicine
|January 1, 2025
PubMed
概括

深度学习模型在超声波图像中有效地检测和分类动脉斑块. 更快的RCNN (ResNet 50) 模型显示出高精度,有助于预防中风的策略.

关键词:
人工智能的人工智能是人工智能.冠状动脉斑块 冠状动脉斑块是什么深度学习技术 深度学习技术缺血性中风 中风漏洞的脆弱性就是脆弱性的脆弱性.

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Imaging Studies for Cardiovascular System V: CT

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