Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning

To compare performance of a deep-learning enhanced algorithm for automated detection of diabetic retinopathy (DR), to the previously published performance of that algorithm, the Iowa Detection Program (IDP)-without deep learning components-on the same publicly available set of fundus images and prev...

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Vydané v:	Investigative ophthalmology & visual science Ročník 57; číslo 13; s. 5200 - 5206
Hlavní autori:	Abràmoff, Michael David, Lou, Yiyue, Erginay, Ali, Clarida, Warren, Amelon, Ryan, Folk, James C., Niemeijer, Meindert
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.10.2016
Predmet:	Algorithms Automation - methods Diabetic Retinopathy - diagnosis Diagnosis, Computer-Assisted - methods Diagnostic Techniques, Ophthalmological Female Follow-Up Studies Humans Male Middle Aged Neural Networks, Computer Ophthalmologists - education Retina - diagnostic imaging Retrospective Studies ROC Curve
ISSN:	1552-5783, 1552-5783
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