Application of computer-aided diagnosis of congenital heart disease in four-chamber view of fetal heart basic screening

作     者：Fangfei Su Xiaoqian Zhang Jijing Han Jingjing Wang Lu Li Dexing Kong Qingqing Wu Fangfei Su;Xiaoqian Zhang;Jijing Han;Jingjing Wang;Lu Li;Dexing Kong;Qingqing Wu

作者机构：Department of UltrasoundBeijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijing 100026China School of Mathematical SciencesZhejiang UniversityHangzhouZhejiang 310058China Department of Obstetrics&GynecologyThe Chinese University of Hong KongHong KongChina 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2022年第135卷第24期

页      面：3010-3012页

核心收录：

学科分类：1002[医学-临床医学] 081203[工学-计算机应用技术] 08[工学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：National Key Research and Development Program of China(No.2016YFC1000104) 

主　　题：diagnosis congenital fetal 

摘      要：To the Editor:Congenital heart disease(CHD)is the most common severe congenital malformation which threatens the health of the fetus and the primary factor of intrauterine *** detection of severe CHD could reduce the neonatal mortality and *** detection rate ranges between 25.0%and 59.7%in the prenatal ultrasonographic examination.^([1])We need to identify new strategies to improve detection rates of CHD ***-learning(DL)-based computer-aided diagnosis(CAD)has been highly and rapidly developed in recent years.