Detection of Referable Horizontal Strabismus in Children's Primary Gaze Photographs Using Deep Learning.

Journal: Translational vision science & technology
Published Date: Jan 27, 2021

Abstract

PURPOSE: This study implements and demonstrates a deep learning (DL) approach for screening referable horizontal strabismus based on primary gaze photographs using clinical assessments as a reference. The purpose of this study was to develop and evaluate deep learning algorithms that screen referable horizontal strabismus in children's primary gaze photographs.

Authors

  • Ce Zheng
    Department of Ophthalmology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Qian Yao
    Yunnan Tumour Hospital, Kunming, Yunnan Province, China.
  • Jiewei Lu
    Department of Electronic Engineering, Shantou University, Shantou, Guangdong, China.
  • Xiaolin Xie
    Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou University Medical College, Shantou, 515000, Guangdong, China.
  • Shibin Lin
    Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou University Medical College, Shantou, Guangdong, China.
  • Zilei Wang
    Department of Ophthalmology, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China.
  • Siyin Wang
    Department of Ophthalmology, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China.
  • Zhun Fan
  • Tong Qiao
    Department of Ophthalmology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China.

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