An explainable ultrasound-based machine learning model for predicting reproductive outcomes after frozen embryo transfer.

Abstract

Authors

• Fangfang Xu
  Institute of Agro-Products Processing, Henan Academy of Agricultural Sciences, No. 116, Huayuan Road, Zhengzhou, 450002 Henan Province People's Republic of China.
• Qianqing Ma
  Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, AH, China, 230022.
• Penghao Lai
  The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Zhejiang, P. R. China.
• Lili Hu
  Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Anhui, P. R. China.
• Chuanfen Gao
  Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Anhui, P. R. China.
• Qianhua Xu
  Centre for Reproductive Medicine, The First Affiliated Hospital of Anhui Medical University, Anhui, P. R. China.
• Youyan Fang
  Centre for Reproductive Medicine, The First Affiliated Hospital of Anhui Medical University, Anhui, P. R. China.
• Yixuan Guo
  Department of Biomedical Informatics, Columbia University, New York, New York, USA.
• Wen Yao
  Defense Innovation Institute, Chinese Academy of Military Science, Beijing 100071, China.
• Chaoxue Zhang
  Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Keywords

External Resources