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A tool for automated diabetic retinopathy pre-screening based on retinal image computer analysis

  • Published:2017-09 Issue: Volume:88 Page:100-109
  • ISSN:0010-4825
  • Container-title:Computers in Biology and Medicine
  • language:en
  • Short-container-title:Computers in Biology and Medicine

Author:

Gegundez-Arias Manuel E.,Marin Diego,Ponte Beatriz,Alvarez Fatima,Garrido Javier,Ortega Carlos,Vasallo Manuel J.,Bravo Jose M.

Funder

Health Ministry of the Andalusian Regional Government

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference43 articles.

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

2. Overview of epidemiologic studies of diabetic retinopathy;Klein;Ophthalmic Epidemiol.,2007

3. Clinical practice guidelines for the prevention and management of diabetes in Canada: Retinopathy;Boyd;Can. J. Diabetes,2013

4. The Wisconsin Epidemiologic Study of Diabetic Retinopathy. A comparison of retinopathy in younger and older onset diabetic persons;Klein;Adv. Exp. Med. Biol.,1985

5. The prevalence of diabetic retinopathy in subjects with type 2 diabetes of one year and less duration;Metrreveli;Georgian Med. News,2006

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5. A Systematic Review on Deep Learning Techniques for Diabetic Retinopathy Segmentation and Detection Using Ocular Imaging Modalities;Wireless Personal Communications;2024-01
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