Computer-aided diagnosis of diabetic retinopathy: A review

被引：289
|
作者：
Mookiah, Muthu Rama Krishnan [1 ]
Acharya, U. Rajendra [1 ,2 ]
Chua, Chua Kuang [1 ]
Lim, Choo Min [1 ]
Ng, E. Y. K. [3 ]
Laude, Augustinus [4 ]
机构：
[1] Ngee Ann Polytech, Dept Elect & Comp Engn, Singapore 599489, Singapore
[2] Univ Malaya, Fac Engn, Dept Biomed Engn, Kuala Lumpur 50603, Malaysia
[3] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
[4] Tan Tock Seng Hosp, Natl Healthcare Grp Eye Inst, Singapore 308433, Singapore
来源：
COMPUTERS IN BIOLOGY AND MEDICINE | 2013年 / 43卷 / 12期
关键词：
Retina; Retinopathy; Fundus imaging; Computer-aided diagnosis; Pattern classification; Image processing; OPTICAL COHERENCE TOMOGRAPHY; BLOOD-VESSEL SEGMENTATION; COLOR FUNDUS PHOTOGRAPHS; DECISION-SUPPORT-SYSTEM; RETINAL IMAGE-ANALYSIS; COTTON-WOOL SPOTS; AUTOMATED DETECTION; MACULAR EDEMA; MATCHED-FILTER; MATHEMATICAL MORPHOLOGY;
D O I：
10.1016/j.compbiomed.2013.10.007
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be tedious and time consuming to decipher subtle morphological changes in optic disk, microaneurysms, hemorrhage, blood vessels, macula, and exudates through manual inspection of fundus images. A computer aided diagnosis system can significantly reduce the burden on the ophthalmologists and may alleviate the inter and intra observer variability. This review discusses the available methods of various retinal feature extractions and automated analysis. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2136 / 2155
页数：20
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