A deep learning framework for identifying and segmenting three vessels in fetal heart ultrasound images.

Journal: Biomedical engineering online
Published Date: Apr 2, 2024

Abstract

BACKGROUND: Congenital heart disease (CHD) is one of the most common birth defects in the world. It is the leading cause of infant mortality, necessitating an early diagnosis for timely intervention. Prenatal screening using ultrasound is the primary method for CHD detection. However, its effectiveness is heavily reliant on the expertise of physicians, leading to subjective interpretations and potential underdiagnosis. Therefore, a method for automatic analysis of fetal cardiac ultrasound images is highly desired to assist an objective and effective CHD diagnosis.

Authors

  • Laifa Yan
    College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China.
  • Shan Ling
    Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
  • Rongsong Mao
    College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China.
  • Haoran Xi
  • Fei Wang
    Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, United States.

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