Diagnosis of left ventricular hypertrophy using convolutional neural network.

Journal: BMC medical informatics and decision making
Published Date: Sep 25, 2020

Abstract

BACKGROUND: Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, and then mark two key points on both sides of the posterior wall of the left ventricle with their own experience for computer measurement. In the actual measurement, the doctor's selection point is subjective, and difficult to accurately locate the edge, which will bring errors to the measurement results.

Authors

  • Zini Jian
    Electronic Information School, Wuhan University, Wuhan, P.R. China.
  • Xianpei Wang
    Electronic Information School, Wuhan University, Wuhan, P.R. China. xpwang@whu.edu.cn.
  • Jingzhe Zhang
    Electronic Information School, Wuhan University, Wuhan, P.R. China.
  • Xinyu Wang
    Department of Endocrinology, Institute of Translational Medicine, Health Science Center, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
  • Youbin Deng
    Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China.

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