Classification of normal and abnormal fetal heart ultrasound images and identification of ventricular septal defects based on deep learning.

Journal: Journal of perinatal medicine
Published Date: May 11, 2023

Abstract

OBJECTIVES: Congenital heart defects (CHDs) are the most common birth defects. Recently, artificial intelligence (AI) was used to assist in CHD diagnosis. No comparison has been made among the various types of algorithms that can assist in the prenatal diagnosis.

Authors

  • Yiru Yang
    The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, P.R. China.
  • Bingzheng Wu
    College of Engineering, Huaqiao University, Quanzhou 362021, China.
  • Huiling Wu
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China.
  • Wu Xu
    The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, P.R. China.
  • Guorong Lyu
    Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.
  • Peizhong Liu
    College of Engineering, Huaqiao University, No. 269, Chenghua North Road, Quanzhou, 362021, Fujian, China. pzliu@hqu.edu.cn.
  • Shaozheng He
    Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.

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