articleTop 1% cited
Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening
Information Sciences · 2019 · Vol. 501 · pp. 511–522
Tao Li(Nankai University)Yingqi Gao(Nankai University)Kai Wang(Nankai University)Song Guo(Nankai University)Hanruo Liu(Beijing Tongren Hospital)Hong Kang✉(Nankai University)
Retinal Imaging and AnalysisRetinal Diseases and TreatmentsGlaucoma and retinal disordersArtificial intelligenceDeep learningComputer scienceDiabetic retinopathySegmentationFundus (uterus)BlindnessMachine learningImage segmentationObject detection
Funding
- National Natural Science Foundation of China
- Nankai University
- Natural Science Foundation of Tianjin City
- National Key Research and Development Program of China
Citations
578
FWCI
26.99
field-weighted impact
References
52
Percentile
100%
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Citations per year
References
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Ophthalmology · 2003 · 3,630 citations
Global Prevalence and Major Risk Factors of Diabetic Retinopathy
Diabetes Care · 2012 · 4,794 citations
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IEEE Transactions on Medical Imaging · 2000 · 2,542 citations
Ridge-Based Vessel Segmentation in Color Images of the Retina
IEEE Transactions on Medical Imaging · 2004 · 4,069 citations
Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning
Investigative Ophthalmology & Visual Science · 2016 · 1,077 citations
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
JAMA · 2016 · 7,252 citations
Automated Identification of Diabetic Retinopathy Using Deep Learning
Ophthalmology · 2017 · 1,307 citations
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