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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Detalles Bibliográficos
Autores principales: Hong, Wenjing, Sheng, Qiuyang, Dong, Bin, Wu, Lanping, Chen, Lijun, Zhao, Leisheng, Liu, Yiqing, Zhu, Junxue, Liu, Yiman, Xie, Yixin, Yu, Yizhou, Wang, Hansong, Yuan, Jiajun, Ge, Tong, Zhao, Liebin, Liu, Xiaoqing, Zhang, Yuqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019069/
https://www.ncbi.nlm.nih.gov/pubmed/35463790
http://dx.doi.org/10.3389/fcvm.2022.834285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019069/
https://www.ncbi.nlm.nih.gov/pubmed/35463790
http://dx.doi.org/10.3389/fcvm.2022.834285

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