review·Progress in Retinal and Eye Research·Apr 29, 2019GREEN OA

Deep learning in ophthalmology: The technical and clinical considerations

DSDaniel Shu Wei TingCorresponding authorLPLily PengAVAvinash V. VaradarajanPAPearse A. KeanePBPhilippe Burlina

National University of Singapore · Singapore National Eye Center · +13 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

No abstract available for this paper.

Citation impact

508
total citations
FWCI
41.75
Percentile
100%
References
159
Citations per year

Authors

12
  • DS
    Daniel Shu Wei TingCorresponding

    National University of Singapore, Singapore National Eye Center, Singapore Eye Research Institute, Duke-NUS Medical School

  • LP
    Lily Peng

    Google (United States)

  • AV
    Avinash V. Varadarajan

    Google (United States)

  • PA
    Pearse A. Keane

    Moorfields Eye Hospital, University College London

  • PB
    Philippe Burlina

    Johns Hopkins University, Johns Hopkins Medicine, Johns Hopkins University Applied Physics Laboratory

Topics & keywords

Topics
  • Primary topicRetinal Imaging and Analysis100%
  • Retinal Diseases and Treatments100%
  • Glaucoma and retinal disorders100%
Keywords
  • Macular degeneration
  • Artificial intelligence
  • Glaucoma
  • Medicine
  • Diabetic retinopathy
  • Deep learning
  • Computer science
  • Clinical trial
No related works found for this paper.

Funding

  • SE
    Singapore Eye Research Institute
  • NM
    National Medical Research Council
  • BR
    Biomedical Research Council
    Awards: 08/1/35/19/550, 09/1/35/19/616