An ultrasound-based deep learning radiomic model combined with clinical data to predict clinical pregnancy after frozen embryo transfer: a pilot cohort study.

Journal: Reproductive biomedicine online
Published Date: Mar 27, 2023

Abstract

RESEARCH QUESTION: Can a multi-modal fusion model based on ultrasound-based deep learning radiomics combined with clinical parameters provide personalized evaluation of endometrial receptivity and predict the occurrence of clinical pregnancy after frozen embryo transfer (FET)?

Authors

  • Xiaowen Liang
  • Jianchong He
    School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China.
  • Lu He
    University of California, Irvine, Irvine, CA, USA.
  • Yan Lin
  • Yuewei Li
    Department of Ultrasound Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Kuan Cai
    Department of Ultrasound Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Jun Wei
    Guangzhou Perception Vision Medical Technology Inc. Guangzhou 510000 China.
  • Yao Lu
    Department of Laboratory Medicine, The First Affiliated Hospital of Ningbo University, Ningbo First Hospital, Ningbo, China.
  • Zhiyi Chen
    School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, Zhejiang Province, China.

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