A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

Journal: Expert review of molecular diagnostics
PMID: 32310684

Abstract

BACKGROUND: A key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. The aim was to develop an automatic CNN-aided method of DARC spot detection to enable prediction of glaucoma progression.

Authors

  • Eduardo M Normando
    ICORG, Imperial College London , London, UK.
  • Tim E Yap
    ICORG, Imperial College London , London, UK.
  • John Maddison
    Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
  • Serge Miodragovic
    ICORG, Imperial College London , London, UK.
  • Paolo Bonetti
    ICORG, Imperial College London , London, UK.
  • Melanie Almonte
    ICORG, Imperial College London , London, UK.
  • Nada G Mohammad
    ICORG, Imperial College London , London, UK.
  • Sally Ameen
    ICORG, Imperial College London , London, UK.
  • Laura Crawley
    ICORG, Imperial College London , London, UK.
  • Faisal Ahmed
    Department of Computer Science and Engineering, University of Chittagong, Chittagong, Bangladesh.
  • Philip A Bloom
    ICORG, Imperial College London , London, UK.
  • Maria Francesca Cordeiro
    UCL Institute of Ophthalmology, London, United Kingdom; Novai Ltd, Reading, United Kingdom; Imperial College Ophthalmology Research Group, Imperial College London, London, United Kingdom. Electronic address: m.cordeiro@ucl.ac.uk.

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