Automatic Screening and Identifying Myopic Maculopathy on Optical Coherence Tomography Images Using Deep Learning.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: The purpose of this study was to engineer deep learning (DL) models that can identify myopic maculopathy in patients with high myopia based on optical coherence tomography (OCT) images.

Authors

  • Xin Ye
    Department of Stomatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Jun Wang
    Department of Speech, Language, and Hearing Sciences and the Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Yiqi Chen
    School of Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Zhe Lv
  • Shucheng He
    School of Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Jianbo Mao
    Eye Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  • Jiahao Xu
    School of Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Lijun Shen
    Department of radiation oncology, Fudan University Shanghai Cancer Center, Shanghai, China.