Automatic Detection of Secundum Atrial Septal Defect in Children Based on Color Doppler Echocardiographic Images Using Convolutional Neural Networks

Automatic Detection of Secundum Atrial Septal Defect in Children Based on Color Doppler Echocardiographic Images Using Convolutional Neural Networks

Secundum atrial septal defect (ASD) is one of the most common congenital heart diseases (CHDs). This study aims to evaluate the feasibility and accuracy of automatic detection of ASD in children based on color Doppler echocardiographic images using convolutional neural networks. In this study, we pr...

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Bibliographic Details
Main Authors: Wenjing Hong, Qiuyang Sheng, Bin Dong, Lanping Wu, Lijun Chen, Leisheng Zhao, Yiqing Liu, Junxue Zhu, Yiman Liu, Yixin Xie, Yizhou Yu, Hansong Wang, Jiajun Yuan, Tong Ge, Liebin Zhao, Xiaoqing Liu, Yuqi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
convolutional neural networks
automatic detection
secundum atrial septal defect
echocardiogram
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.834285/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.834285/full

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