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Algorithms for digital image processing in diabetic retinopathy

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Winder, John, Morrow, Philip, McRitchie, I. N., Bailie, J. R. and Hart, P. M. (2009) Algorithms for digital image processing in diabetic retinopathy. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 33 (8). pp. 608-622. [Journal article]

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DOI: 10.1016/j.compmedimag.2009.06.003

Abstract

This work examined recent literature on digital image processing in the field of diabetic retinopathy. Algorithms were categorized into 5 steps (preprocessing; localization and segmentation of the optic disk; segmentation of the retinal vasculature; localization of the macula and fovea; localization and segmentation of retinopathy). The variety of outcome measures, use of a gold standard or ground truth, data sample sizes and the use of image databases is discussed. It is intended that our classification of algorithms into a small number of categories, definition of terms and discussion of evolving techniques will provide guidance to algorithm designers for diabetic retinopathy. (C) 2009 Elsevier Ltd. All rights reserved.

Item Type:Journal article
Keywords:Diabetic retinopathy; Computer-aided diagnosis; Digital imaging; Image processing
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Life and Health Sciences
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
ID Code:6442
Deposited By:Dr John Winder
Deposited On:27 Jan 2010 16:12
Last Modified:28 Feb 2012 14:59

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