Automated Analysis of Choroidal Sublayer Morphologic Features in Myopic Children Using EDI-OCT by Deep Learning.

Journal: Translational vision science & technology
Published Date: Nov 1, 2021

Abstract

PURPOSE: The purpose of this study was to analyze the choroidal sublayer morphologic features in emmetropic and myopic children using an automatic segmentation model, and to explore the relationship between choroidal sublayers and spherical equivalent refraction (SER).

Authors

  • Junmeng Li
    Department of Ophthalmology, Peking University First Hospital, Beijing, China.
  • Lei Zhu
    School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, China.
  • Ruilin Zhu
    Department of Ophthalmology, Peking University First Hospital, Beijing, China.
  • Yanye Lu
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany. yanye.lu@fau.de.
  • Xin Rong
    Department of Ophthalmology, Peking University First Hospital, Beijing, China.
  • Yadi Zhang
    Department of Ophthalmology, Peking University First Hospital, Beijing, China.
  • Xiaopeng Gu
    Department of Ophthalmology, Peking University First Hospital, Beijing, China.
  • Yuwei Wang
    College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, 712000, PR China.
  • Zhiyue Zhang
    Department of Ophthalmology, Peking University First Hospital, Beijing, China.
  • Qiushi Ren
    Department of Biomedical Engineering, Peking University, 100871, Beijing, China.
  • Bei Rong
    Department of Ophthalmology, Peking University First Hospital, Beijing, China.
  • Liu Yang
    Department of Ultrasound, Hunan Children's Hospital, Changsha, China.

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