DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: To automate the segmentation of retinal layers, we propose DeepRetina, a method based on deep neural networks.

Authors

  • Qiaoliang Li
    School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Shiyu Li
    Department of Biomedical Engineering, ShenZhen University, ShenZhen, 518000, China.
  • Zhuoying He
    Department of Biomedical Engineering, ShenZhen University, ShenZhen, 518000, China.
  • Huimin Guan
    Department of Biomedical Engineering, ShenZhen University, ShenZhen, 518000, China.
  • Runmin Chen
    National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Xueyuan Avenue, Nanshan District, Shenzhen, 518071, China.
  • Ying Xu
    School of Biological and Food Engineering Changzhou University Changzhou Jiangsu China.
  • Tao Wang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Suwen Qi
    Department of In vitro Diagnostics, School of Biomedical Engineering, Shenzhen University, Shenzhen 518037, China.
  • Jun Mei
    Centre of New Energy Systems, Department of Electrical and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa. Electronic address: meij0000@163.com.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.