A novel hybrid machine learning model for auxiliary diagnosing myocardial ischemia

A novel hybrid machine learning model for auxiliary diagnosing myocardial ischemia

IntroductionAccurate identification of the myocardial texture features of fat around the coronary artery on coronary computed tomography angiography (CCTA) images are crucial to improve clinical diagnostic efficiency of myocardial ischemia (MI). However, current coronary CT examination is difficult...

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Bibliographic Details
Main Authors: Jing Wang, Jing Xu, Jingsong Mao, Suzhong Fu, Haowei Gu, Naiming Wu, Guoqing Su, Zhiping Lin, Kaiyue Zhang, Yuetong Lin, Yang Zhao, Gang Liu, Hengyu Zhao, Qingliang Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
coronary atherosclerosis
coronary CT angiography
radiomics
random forest model
medical image analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1327912/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2024.1327912/full

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