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

Kevin Noronha; K. Prabhakar Nayak

doi:10.1109/ICoBE.2012.6179013

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

Kevin Noronha^*
, K. Prabhakar Nayak

^*Corresponding author for this work

Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 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 language	English
Title of host publication	2012 International Conference on Biomedical Engineering, ICoBE 2012
Pages	242-246
Number of pages	5
DOIs	https://doi.org/10.1109/ICoBE.2012.6179013
Publication status	Published - 2012
Event	2012 International Conference on Biomedical Engineering, ICoBE 2012 - Penang, Malaysia Duration: 27-02-2012 → 28-02-2012

Publication series

Name	2012 International Conference on Biomedical Engineering, ICoBE 2012

Conference

Conference	2012 International Conference on Biomedical Engineering, ICoBE 2012
Country/Territory	Malaysia
City	Penang
Period	27-02-12 → 28-02-12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Biomedical Engineering

Access to Document

10.1109/ICoBE.2012.6179013

Cite this

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title = "Fundus image analysis for the detection of diabetic eye diseases-a review",

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.",

author = "Kevin Noronha and Nayak, \{K. Prabhakar\}",

year = "2012",

doi = "10.1109/ICoBE.2012.6179013",

language = "English",

isbn = "9781457719899",

series = "2012 International Conference on Biomedical Engineering, ICoBE 2012",

pages = "242--246",

booktitle = "2012 International Conference on Biomedical Engineering, ICoBE 2012",

note = "2012 International Conference on Biomedical Engineering, ICoBE 2012 ; Conference date: 27-02-2012 Through 28-02-2012",

}

Noronha, K & Nayak, KP 2012, Fundus image analysis for the detection of diabetic eye diseases-a review. in 2012 International Conference on Biomedical Engineering, ICoBE 2012., 6179013, 2012 International Conference on Biomedical Engineering, ICoBE 2012, pp. 242-246, 2012 International Conference on Biomedical Engineering, ICoBE 2012, Penang, Malaysia, 27-02-12. https://doi.org/10.1109/ICoBE.2012.6179013

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AB - 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.

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ER -

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

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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