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  • Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques

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Clinical science
Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques

Authors

  • Yu Fujinami-Yokokawa Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan UCL Institute of Ophthalmology, UCL, London, UK Graduate School of Health Management, Keio University, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Hideki Ninomiya Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Xiao Liu Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Lizhu Yang Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Nikolas Pontikos Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan UCL Institute of Ophthalmology, UCL, London, UK Division of Inherited Eye Disease, Medical Retina, Moorfields Eye Hostpial, London, UK PubMed articlesGoogle scholar articles
  • Kazutoshi Yoshitake Division of Molecular and Cellular Biology, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Takeshi Iwata Division of Molecular and Cellular Biology, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Yasunori Sato Graduate School of Health Management, Keio University, Tokyo, Japan Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Takeshi Hashimoto Graduate School of Health Management, Keio University, Tokyo, Japan Sports Medicine Research Center, Keio University, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Kazushige Tsunoda Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Hiroaki Miyata Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan Graduate School of Health Management, Keio University, Tokyo, Japan PubMed articlesGoogle scholar articles
  • Kaoru Fujinami Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan UCL Institute of Ophthalmology, UCL, London, UK Division of Inherited Eye Disease, Medical Retina, Moorfields Eye Hostpial, London, UK PubMed articlesGoogle scholar articles
  • The Japan Eye Genetics Study (JEGC) Group
    Google scholar articles
  1. Correspondence to Dr Kaoru Fujinami, Laboratory of Visual Physiology/Ophthalmic Genetics, Tokyo Iryo Center, Meguro-ku, Tokyo, Japan; k.fujinami{at}ucl.ac.uk
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Citation

Fujinami-Yokokawa Y, Ninomiya H, Liu X The Japan Eye Genetics Study (JEGC) Group, et al
Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques
British Journal of Ophthalmology 2021;105:1272-1279.

Publication history

  • Received December 1, 2020
  • Revised March 12, 2021
  • Accepted March 28, 2021
  • First published April 20, 2021.
Online issue publication 
August 20, 2021

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© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.