Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-related Macular Degeneration.

Journal: American journal of ophthalmology
Published Date: Jan 1, 2018

Abstract

PURPOSE: To develop a neural network for the estimation of visual acuity from optical coherence tomography (OCT) images of patients with neovascular age-related macular degeneration (AMD) and to demonstrate its use to model the impact of specific controlled OCT changes on vision.

Authors

  • Tariq M Aslam
    School of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom. Electronic address: Tariq.aslam@cmft.nhs.uk.
  • Haider R Zaki
    School of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
  • Sajjad Mahmood
    Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
  • Zaria C Ali
    Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
  • Nur A Ahmad
    Department of Optometry, Faculty of Health Sciences, Universiti Teknologi Mara Puncak Alam, Selangor, Malaysia.
  • Mariana R Thorell
    Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom; Department of Ophthalmology Hospital Banco de Olhos de Porto Alegre, Porto Alegre, Brazil.
  • Konstantinos Balaskas
    School of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.

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