Algorithms for digital image processing in diabetic retinopathy

被引：191

作者：

Winder, R. J. ^{[1
]}

Morrow, P. J. ^{[2
]}

McRitchie, I. N. ^{[1
]}

Bailie, J. R. ^{[3
]}

Hart, P. M. ^{[4
]}

机构：

[1] Univ Ulster, Hlth & Rehabil Sci Res Inst, Newtownabbey BT37 0QB, North Ireland

[2] Univ Ulster, Sch Comp & Informat Engn, Coleraine BT52 1SA, Londonderry, North Ireland

[3] Hlth & Social Care Res & Dev Off, Belfast BT2 8BS, Antrim, North Ireland

[4] Royal Grp Hosp, Belfast Hlth & Social Care Trust, No Ireland Diabet Retinopathy Screening Serv, Belfast BT12 6BA, Antrim, North Ireland

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2009年 / 33卷 / 08期

关键词：

Diabetic retinopathy; Computer-aided diagnosis; Digital imaging; Image processing; COLOR FUNDUS PHOTOGRAPHS; BLOOD-VESSEL DETECTION; OPTIC-NERVE HEAD; AUTOMATED DETECTION; RETINAL IMAGES; NEURAL-NETWORK; SEGMENTATION; MODEL; MICROANEURYSMS; DIAGNOSIS;

D O I：

10.1016/j.compmedimag.2009.06.003

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：608 / 622

页数：15

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