A machine learning model based on placental magnetic resonance imaging and clinical factors to predict fetal growth restriction.

Abstract

Authors

• Jida Wang
  Department of Radiology, Women'S Hospital, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, 310006, China.
• Zhuying Chen
  Department of Radiology, Women'S Hospital, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, 310006, China.
• Hongxi Zhang
  Department of Radiology, Children'S Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
• Weikang Li
  Department of Radiology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
• Kui Li
  Department of Radiology, Women'S Hospital, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, 310006, China.
• Meixiang Deng
  Department of Radiology, Women'S Hospital, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, Zhejiang, 310006, China.
• Yu Zou
  Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Keywords

External Resources