A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jun 15, 2020

Abstract

PURPOSE: The evaluation of fetal lung maturity is critical for clinical practice since the lung immaturity is an important cause of neonatal morbidity and mortality. For the evaluation of the development of fetal lung maturation degree, our study established a deep model from ultrasound images of four-cardiac-chamber view plane.

Authors

  • Ping Chen
    Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Yunqi Chen
    Ultrasound Department, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 200040, China.
  • Yinhui Deng
    Department of Electronic Engineering, Fudan University, Shanghai, 200433, China. yinhuideng@fudan.edu.cn.
  • Yuanyuan Wang
    Department of Biotechnology, College of Life Science and Technology, Jinan University Guangzhou, 510632, China.
  • Ping He
    Shanghai Hospital Development Center, Shanghai 200040, China. Electronic address: heping@shdc.org.cn.
  • Xiaoli Lv
    Ultrasound Department, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 200040, China.
  • Jinhua Yu
    Department of Electronic Engineering, Fudan University, Shanghai, 200433, China. jhyu@fudan.edu.cn.

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