Automated detection of diabetic retinopathy lesions on ultrawidefield pseudocolour images-Reference-Cited by-同舟云学术

Automated detection of diabetic retinopathy lesions on ultrawidefield pseudocolour images

Published:2017-09-19 Issue:2 Volume:96 Page:e168-e173
ISSN:1755-375X
Container-title:Acta Ophthalmologica
language:en
Short-container-title:Acta Ophthalmol

Author:

Wang Kang¹²,Jayadev Chaitra³,Nittala Muneeswar G.¹^ORCID,Velaga Swetha B.¹,Ramachandra Chaithanya A.⁴,Bhaskaranand Malavika⁴,Bhat Sandeep⁴,Solanki Kaushal⁴,Sadda SriniVas R.¹⁵

Affiliation:

1. Doheny Image Reading Center; Doheny Eye Institute; Los Angeles CA USA

2. Department of Ophthalmology; Beijing Friendship Hospital; Capital Medical University; Beijing China

3. Narayana Nethralaya; Bangalore India

4. Eyenuk Inc.; Los Angeles CA USA

5. Department of Ophthalmology; David Geffen School of Medicine at UCLA; Los Angeles CA USA

Funder

Carl Zeiss Meditec AG

Optos

Allergan

Genentech

Publisher

Wiley

Subject

Ophthalmology,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/aos.13528/fullpdf

Reference24 articles.

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3. Fundus photographic risk factors for progression of diabetic retinopathy: ETDRS report number 12;Early Treatment Diabetic Retinopathy Study Research Group;Ophthalmology,1991

4. Comparison of film and digital fundus photographs in eyes of individuals with diabetes mellitus;Gangaputra;Invest Ophthalmol Vis Sci,2011

5. Global estimates of diabetes prevalence for 2013 and projections for 2035;Guariguata;Diabetes Res Clin Pract,2014

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