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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21326

Title: Fundus image analysis for the detection of diabetic eye diseases-a review
Authors: Noronha, Kevin
Nayak, K. Prabhakar
???metadata.dc.contributor.url???: kevinkurkal@yahoo.co.in
kp.nayak@manipal.edu
Keywords: Fundus image;Diabetic Retinopathy (DR);Macula;Optic disk (OD);Exudates;Morphological operators
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 242-246
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
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.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179013
http://hdl.handle.net/123456789/21326
ISBN: 978-145771989-9
Appears in Collections:Conference Papers

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