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作 者:Fangfei Su Xiaoqian Zhang Jijing Han Jingjing Wang Lu Li Dexing Kong Qingqing Wu
机构地区:[1]Department of Ultrasound,Beijing Obstetrics and Gynecology Hospital,Capital Medical University,Beijing 100026,China [2]School of Mathematical Sciences,Zhejiang University,Hangzhou,Zhejiang 310058,China [3]Department of Obstetrics&Gynecology,The Chinese University of Hong Kong,Hong Kong,China
出 处:《Chinese Medical Journal》2022年第24期3010-3012,共3页中华医学杂志(英文版)
基 金:National Key Research and Development Program of China(No.2016YFC1000104)。
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 death.Prenatal detection of severe CHD could reduce the neonatal mortality and morbidity.The 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 prenatally.Deep-learning(DL)-based computer-aided diagnosis(CAD)has been highly and rapidly developed in recent years.
关 键 词:DIAGNOSIS CONGENITAL FETAL
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