首页|期刊导航|中华医学杂志（英文版）|Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation
中华医学杂志（英文版）2021，Vol.134Issue(15)：1828-1837,10.DOI:10.1097/CM9.0000000000001547
Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation
Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation
摘要
关键词
Convolutional neural network/Deep learning algorithms/Grading model/Normal fetal lung/Fetal lung maturity/Gestational age/Artificial intelligenceKey words
Convolutional neural network/Deep learning algorithms/Grading model/Normal fetal lung/Fetal lung maturity/Gestational age/Artificial intelligence引用本文复制引用
Tai-Hui Xia,Man Tan,Jing-Hua Li,Jing-Jing Wang,Qing-Qing Wu,De-Xing Kong..Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation[J].中华医学杂志（英文版）,2021,134(15):1828-1837,10.基金项目
This work was supported by a grant from the National Key Research and Development Program of China (No.2016YFC1000104). （No.2016YFC1000104）
