A Deep Learning System for Automatic Assessment of Anterior Chamber Angle in Ultrasound Biomicroscopy Images.

Journal: Translational vision science & technology
PMID: 34570190

Abstract

PURPOSE: To develop and assess a deep learning system that automatically detects angle closure and quantitatively measures angle parameters from ultrasound biomicroscopy (UBM) images using a deep learning algorithm.

Authors

  • Wensai Wang
    Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
  • Lingxiao Wang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Xiaochun Wang
    Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
  • Sheng Zhou
    Department of The First Clinical Medical College of Gansu, University of Chinese Medicine, Lanzhou, Gansu, China.
  • Song Lin
    Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.
  • Jun Yang
    Cardiovascular Endocrinology Laboratory, Hudson Institute of Medical Research, Clayton, Victoria, Australia; Department of Medicine, Monash University, Clayton, Victoria, Australia.

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