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Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy.
Ophthalmology. 2018 Aug;125(8):1264-1272. doi: 10.1016/j.ophtha.2018.01.034. Epub 2018 Mar 13.
Ophthalmology. 2018.
PMID: 29548646
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR.
Gulshan V, et al.
JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216.
JAMA. 2016.
PMID: 27898976
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Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India.
Gulshan V, Rajan RP, Widner K, Wu D, Wubbels P, Rhodes T, Whitehouse K, Coram M, Corrado G, Ramasamy K, Raman R, Peng L, Webster DR.
Gulshan V, et al.
JAMA Ophthalmol. 2019 Sep 1;137(9):987-993. doi: 10.1001/jamaophthalmol.2019.2004.
JAMA Ophthalmol. 2019.
PMID: 31194246
Free PMC article.
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