Fundus image analysis for the detection of diabetic eye diseases-a review

Kevin Noronha, K. Prabhakar Nayak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The detection of anatomical structures of fundus image like the OD, fovea and the retinal vessels is very significant in the automated detection of DR. This review outlines the principles, methods and algorithms used in the automated detection of diabetic eye diseases. The recent methods used to detect fundus image features like the optic disc (OD), fovea and retinal blood vessels, pathologies like hemorrhages, Micro aneurysms (MA), cotton wool spots and retinal exudates are discussed. We discuss the automated detection of diabetic eye diseases using image processing methods. We present the quantitative evaluation of different methods. We also discuss methodologies used by the researches in analyzing their results.

Original languageEnglish
Title of host publication2012 International Conference on Biomedical Engineering, ICoBE 2012
Pages242-246
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Biomedical Engineering, ICoBE 2012 - Penang, Malaysia
Duration: 27-02-201228-02-2012

Conference

Conference2012 International Conference on Biomedical Engineering, ICoBE 2012
CountryMalaysia
CityPenang
Period27-02-1228-02-12

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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    Noronha, K., & Nayak, K. P. (2012). Fundus image analysis for the detection of diabetic eye diseases-a review. In 2012 International Conference on Biomedical Engineering, ICoBE 2012 (pp. 242-246). [6179013] https://doi.org/10.1109/ICoBE.2012.6179013