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Screening Diabetic Retinopathy Through Color Retinal Images.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Zhang, David
Qin Li
Xue-Min Jin
Quan-xue Gao
You, Jane
Source :
Medical Biometrics; 2008, p176-183, 8p
Publication Year :
2008

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 distin-guishing Prolifetive Diabetic Retinopathy (PDR) from Non-Prolifetive Retino-pathy (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 re-consturction. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540774105
Database :
Complementary Index
Journal :
Medical Biometrics
Publication Type :
Book
Accession number :
34018519
Full Text :
https://doi.org/10.1007/978-3-540-77413-6_23