Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning-Reference-Cited by-同舟云学术

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

Published:2016-10-04 Issue:13 Volume:57 Page:5200
ISSN:1552-5783
Container-title:Investigative Opthalmology & Visual Science
language:en
Short-container-title:Invest. Ophthalmol. Vis. Sci.

Author:

Abràmoff Michael David¹,Lou Yiyue²,Erginay Ali³,Clarida Warren⁴,Amelon Ryan⁴,Folk James C.⁵,Niemeijer Meindert⁴

Affiliation:

1. Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States 2Iowa City Veterans Affairs Medical Center, Iowa City, Iowa, United States 3IDx LLC, Iowa City, Iowa, United States

2. Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, United States

3. Service d' Ophtalmologie, Hôpital Lariboisière, APHP, Paris, France

4. IDx LLC, Iowa City, Iowa, United States

5. Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States 3IDx LLC, Iowa City, Iowa, United States

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

General Medicine

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