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Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
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计算机断层扫描基于血管造影的放射学模型,用于预测动脉动脉样硬化斑块脆弱性

Dezhi Shan1,2, Siyu Wang3, Junjie Wang1

  • 1Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.

Frontiers in neurology
|July 3, 2023
PubMed
概括

这项研究确定了计算机断层扫描血管学 (CTA) 的放射性特征,以预测易受伤害的喉动脉样硬化斑块 (CAP). 一个随机森林模型准确地识别了脆弱的斑块,有助于早期发现中风.

关键词:
在CEUS中,您可以使用CEUS.在CTA的放射学方面,CTA的放射学.冠状动脉动脉样硬化斑块 冠状动脉动脉样硬化斑块机器学习算法的算法漏洞的脆弱性 漏洞的脆弱性

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