Automated Analysis of Doppler Echocardiographic Videos as a Screening Tool for Valvular Heart Diseases
Author(s) -
Feifei Yang,
Xiaotian Chen,
Xixiang Lin,
Xu Chen,
Wenjun Wang,
Bohan Liu,
Yao Li,
Haitao Pu,
Liwei Zhang,
Dangsheng Huang,
Meiqing Zhang,
Xin Li,
Hui Wang,
Yueheng Wang,
Huayuan Guo,
Yujiao Deng,
Lu Zhang,
Qin Zhong,
Zongren Li,
Liheng Yu,
Yongjie Duan,
Peifang Zhang,
Zhenhua Wu,
Daniel Burkhoff,
Qiushuang Wang,
Kunlun He
Publication year - 2021
Publication title -
jacc. cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.79
H-Index - 120
eISSN - 1936-878X
pISSN - 1876-7591
DOI - 10.1016/j.jcmg.2021.08.015
Subject(s) - medicine , stenosis , mitral regurgitation , regurgitation (circulation) , cardiology , radiology , valvular heart disease , prospective cohort study , mitral valve
This study sought to develop a deep learning (DL) framework to automatically analyze echocardiographic videos for the presence of valvular heart diseases (VHDs).
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