Deep learning frameworks for diabetic retinopathy detection with smartphone-based retinal imaging systems-Reference-Cited by-同舟云学术

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Deep learning frameworks for diabetic retinopathy detection with smartphone-based retinal imaging systems

Published:2020-07 Issue: Volume:135 Page:409-417
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Hacisoftaoglu Recep E.,Karakaya Mahmut^ORCID,Sallam Ahmed B.

Funder

National Institutes of Health

National Institute of General Medical Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference35 articles.

1. . Causes of vision loss worldwide, 1990-2010: a systematic analysis;Bourne;Lancet Glob Health,2013

2. Centers for Disease Control and Prevention, 2020. National Diabetes Statistics Report. US Department of Health and Human Services.

3. The prevalence of diabetic retinopathy among adults in the United States;Kempen;Arch. Ophthalmol.,2004

4. Simple, inexpensive technique for high-quality smartphone fundus photography in human and animal eyes;Haddock;J. Ophthalmol.,2013

5. Optic disc assessment in the emergency department: a comparative study between the PanOptic and direct ophthalmoscopes;Petrushkin;Emerg. Med. J.,2012

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