Automated detection of Cotton Wool Spots for the diagnosis of Hypertensive Retinopathy

Author

Irshad, Samra ; Akram, M. Usman ; Salman, Molly ; Yasin, Ubaidullah

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol., Rawalpindi, Pakistan

fYear

2014

fDate

11-13 Dec. 2014

Firstpage

121

Lastpage

124

Abstract

The development of automated systems for the detection and diagnosis of different diseases are quite popular now-a-days. Hypertensive Retinopathy (HR) is an eye disease caused by high blood pressure. Formation of Cotton Wool Spots (CWS) is one of the important clinical signs that are seen at advanced stages in HR. An automated system is presented in this paper for the detection of Cotton Wool Spots in digital retinal images. The system first enhances candidate regions using Gabor filter bank, then binarize those regions using Global thresholding. The proposed system is tested on a locally gather fundus image dataset, and achieved 82.21% and 82.38% sensitivity and PPV, respectively.

Keywords

Gabor filters; data analysis; diseases; eye; medical image processing; CWS; Gabor filter bank; automated system development; cotton wool spot automated detection; cotton wool spot formation; digital retinal images; eye disease; fundus image dataset; global thresholding; high blood pressure; hypertensive retinopathy diagnosis; Biomedical imaging; Gabor filters; Lesions; Sensitivity; Fundus images; Gabor Filter bank; Hypertensive Retinopathy (HR); Optic Disc (OD); SVM classifier;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference (CIBEC), 2014 Cairo International

Conference_Location

Giza

ISSN

2156-6097

Print_ISBN

978-1-4799-4413-2

Type

conf

DOI

10.1109/CIBEC.2014.7020932

Filename

7020932