射血分数
心室
分割
人工智能
内科学
心脏病学
心力衰竭
医学
定量评估
模式识别(心理学)
计算机科学
放射科
风险分析(工程)
作者
Xin Liu,Yiting Fan,Shuang Li,Meixiang Chen,Ming Li,William Kongto Hau,Heye Zhang,Lin Xu,Alex Lee
出处
期刊:American Journal of Physiology-heart and Circulatory Physiology
[American Physiological Society]
日期:2021-08-01
卷期号:321 (2): H390-H399
被引量:11
标识
DOI:10.1152/ajpheart.00416.2020
摘要
A new strategy of feature extraction and fusion could enhance the accuracy of automatic LVEF assessment based on multiview 2-D echocardiographic sequences. High diagnostic performance for the determination of heart failure was obtained by using DPS-Net in cases with different phenotypes of heart diseases. High performance for left ventricle segmentation was obtained by using DPS-Net, suggesting the potential for a wider range of application in the interpretation of 2DE images.
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