Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis.

Journal: The Lancet. Digital health
PMID:

Abstract

BACKGROUND: Spectral-domain optical coherence tomography (SDOCT) can be used to detect glaucomatous optic neuropathy, but human expertise in interpretation of SDOCT is limited. We aimed to develop and validate a three-dimensional (3D) deep-learning system using SDOCT volumes to detect glaucomatous optic neuropathy.

Authors

  • An Ran Ran
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Carol Y Cheung
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address: carolcheung@cuhk.edu.hk.
  • Xi Wang
    School of Information, Central University of Finance and Economics, Beijing, China.
  • Hao Chen
    The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
  • Lu-Yang Luo
    Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Poemen P Chan
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Eye Hospital, Hong Kong Special Administrative Region, China.
  • Mandy O M Wong
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Eye Hospital, Hong Kong Special Administrative Region, China.
  • Robert T Chang
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, California.
  • Suria S Mannil
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Alvin L Young
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
  • Hon-Wah Yung
    Tuen Mun Eye Centre, Hong Kong Special Administrative Region, China.
  • Chi Pui Pang
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong.
  • Pheng-Ann Heng
  • Clement C Tham
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Eye Hospital, Hong Kong Special Administrative Region, China; Prince of Wales Hospital, Hong Kong Special Administrative Region, China.