Algorithms for digital image processing in diabetic retinopathy

John Winder; Philip Morrow; I. N. McRitchie; J. R. Bailie; P. M. Hart

doi:10.1016/j.compmedimag.2009.06.003

Algorithms for digital image processing in diabetic retinopathy

John Winder
, Philip Morrow
, I. N. McRitchie
, J. R. Bailie
, P. M. Hart

Research output: Contribution to journal › Article › peer-review

243 Citations (Scopus)

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.

Original language	English
Pages (from-to)	608-622
Journal	Computerized Medical Imaging and Graphics
Volume	33
Issue number	8
DOIs	https://doi.org/10.1016/j.compmedimag.2009.06.003
Publication status	Published (in print/issue) - Dec 2009

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Diabetic retinopathy
Computer-aided diagnosis
Digital imaging
Image processing

Access to Document

10.1016/j.compmedimag.2009.06.003

Cite this

@article{64447d90437543b7b00d354ebdd21c3f,

title = "Algorithms for digital image processing in diabetic retinopathy",

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.",

keywords = "Diabetic retinopathy, Computer-aided diagnosis, Digital imaging, Image processing",

author = "John Winder and Philip Morrow and McRitchie, \{I. N.\} and Bailie, \{J. R.\} and Hart, \{P. M.\}",

year = "2009",

month = dec,

doi = "10.1016/j.compmedimag.2009.06.003",

language = "English",

volume = "33",

pages = "608--622",

journal = "Computerized Medical Imaging and Graphics",

issn = "1879-0771",

publisher = "Elsevier Ltd",

number = "8",

}

TY - JOUR

T1 - Algorithms for digital image processing in diabetic retinopathy

AU - Winder, John

AU - Morrow, Philip

AU - McRitchie, I. N.

AU - Bailie, J. R.

AU - Hart, P. M.

PY - 2009/12

Y1 - 2009/12

N2 - 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.

AB - 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.

KW - Diabetic retinopathy

KW - Computer-aided diagnosis

KW - Digital imaging

KW - Image processing

U2 - 10.1016/j.compmedimag.2009.06.003

DO - 10.1016/j.compmedimag.2009.06.003

M3 - Article

SN - 1879-0771

VL - 33

SP - 608

EP - 622

JO - Computerized Medical Imaging and Graphics

JF - Computerized Medical Imaging and Graphics

IS - 8

ER -

Algorithms for digital image processing in diabetic retinopathy

Abstract

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this