articleTop 1% cited
Automated Identification of Diabetic Retinopathy Using Deep Learning
Ophthalmology · 2017 · Vol. 124(7) · pp. 962–969
Rishab GargeyaTheodore Leng✉(Stanford Medicine)
Retinal Imaging and AnalysisRetinal Diseases and TreatmentsGlaucoma and retinal disordersMedicineDiabetic retinopathyFundus (uterus)Receiver operating characteristicArtificial intelligenceMedical diagnosisMetric (unit)Deep learningRetinopathyReferral
MeSH terms
Machine LearningOphthalmologistsAlgorithmsDiabetic RetinopathyDiagnostic Techniques, OphthalmologicalHumansImage Interpretation, Computer-AssistedROC CurveReproducibility of ResultsNeural Networks, Computer
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Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales
Ophthalmology · 2003 · 3,630 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning
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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
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Deep learning
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