articleTop 1% cited
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Ophthalmology · 2018 · Vol. 125(8) · pp. 1199–1206
Zhixi Li✉(Sun Yat-sen University)Yifan HeStuart Keel(The University of Melbourne)Wei MengRobert T. Chang(Smith-Kettlewell Eye Research Institute)Mingguang He(Sun Yat-sen University)
Glaucoma and retinal disordersRetinal Imaging and AnalysisRetinal Diseases and TreatmentsMedicineFundus (uterus)Artificial intelligenceReceiver operating characteristicOphthalmologyDeep learningMacular degenerationOptometryOptic discDiabetic retinopathy
MeSH terms
Deep LearningAlgorithmsDiagnostic Techniques, OphthalmologicalFundus OculiGlaucomaHumansOptic DiskOptic Nerve DiseasesPhotographyRetrospective StudiesROC Curve
Funding
- South China Normal University
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808
FWCI
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References
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JAMA · 2014 · 3,929 citations
The prevalence of primary open-angle glaucoma in Japanese
Ophthalmology · 2004 · 872 citations
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Ophthalmology · 2014 · 6,733 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
The definition and classification of glaucoma in prevalence surveys
British Journal of Ophthalmology · 2002 · 2,328 citations
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