Coronary Artery Disease Detection by Machine Learning with Coronary Bifurcation Features

Coronary Artery Disease Detection by Machine Learning with Coronary Bifurcation Features

<i>Background:</i> Early accurate detection of coronary artery disease (CAD) is one of the most important medical research areas. Researchers are motivated to utilize machine learning techniques for quick and accurate detection of CAD. <i>Methods:</i> To obtain the high quali...

Full description

Bibliographic Details
Main Authors: Xueping Chen, Yi Fu, Jiangguo Lin, Yanru Ji, Ying Fang, Jianhua Wu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
coronary artery disease
coronary bifurcations
machine learning
morphological features
classification performance
Online Access:https://www.mdpi.com/2076-3417/10/21/7656

Internet

https://www.mdpi.com/2076-3417/10/21/7656

Similar Items