Intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning-Reference-Cited by-同舟云学术

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Intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning

Published:2024-06 Issue:3 Volume:6 Page:217-225
ISSN:2096-5796
Container-title:Virtual Reality & Intelligent Hardware
language:en
Short-container-title:Virtual Reality & Intelligent Hardware

Author:

LIU Yiman,HOU Size,HAN Xiaoxiang,LIANG Tongtong,HU Menghan,WANG Xin,GU Wei,ZHANG Yuqi,LI Qingli,CHEN Jiangang

Funder

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Natural Science Foundation of Shanghai Municipality

Publisher

Elsevier BV

Reference20 articles.

1. Prevalence of congenital heart disease at live birth in China;Zhao;The Journal of Pediatrics,2019

2. Atrial septal defect;Bradley;Cardiology Clinics,2020

3. Fully connected network with multi-scale dilation convolution module in evaluating atrial septal defect based on MRI segmentation;Chen;Computer Methods and Programs in Biomedicine,2022

4. Effect of transcatheter closure of atrial septal defect on the cardiopulmonary response to exercise;Rhodes;The American Journal of Cardiology,2002

5. Atrial septal defects;Geva;The Lancet,2014

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