Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75277
Title: Screening diabetic retinopathy through color retinal images
Authors: Li, Q 
Jin, XM
Gao, QX 
You, J 
Bhattacharya, P
Issue Date: 2008
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2008, v. 4901 LNCS, p. 176-183 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Diabetic Retinopathy (DR) is a common complication of diabetes that damages the eye's retina. Recognition DR as early as possible is very important to protect patients' vision. We propose a method for screening DR and distinguishing Prolifetive Diabetic Retinopathy (PDR) from Non-Prolifetive Retinopathy (NPDR) automatatically through color retinal images. This method evaluates the severity of DR by analyzing the appearnce of bright lesions and retinal vessel patterns. The bright lesions are extracted through morphlogical reconsturction. After that, the retinal vessels are automatically extracted using multiscale matched filters. Then the vessel patterns are analyzed by extracting the vessel net density. The experimental results domonstrate that it is a effective solution to screen DR and distinguish PDR from NPDR by only using color retinal images.
Description: 1st International Conference on Medical Biometrics, ICMB 2008, Hong Kong, 4-5 January 2008
URI: http://hdl.handle.net/10397/75277
ISBN: 3540774106
9783540774105
ISSN: 0302-9743
EISSN: 1611-3349
Appears in Collections:Conference Paper

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