Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis
Joint Authors
Siva Sundhara Raja, D.
Vasuki, S.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Diabetic retinopathy (DR) is a leading cause of vision loss in diabetic patients.
DR is mainly caused due to the damage of retinal blood vessels in the diabetic patients.
It is essential to detect and segment the retinal blood vessels for DR detection and diagnosis, which prevents earlier vision loss in diabetic patients.
The computer aided automatic detection and segmentation of blood vessels through the elimination of optic disc (OD) region in retina are proposed in this paper.
The OD region is segmented using anisotropic diffusion filter and subsequentially the retinal blood vessels are detected using mathematical binary morphological operations.
The proposed methodology is tested on two different publicly available datasets and achieved 93.99% sensitivity, 98.37% specificity, 98.08% accuracy in DRIVE dataset and 93.6% sensitivity, 98.96% specificity, and 95.94% accuracy in STARE dataset, respectively.
American Psychological Association (APA)
Siva Sundhara Raja, D.& Vasuki, S.. 2015. Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057894
Modern Language Association (MLA)
Siva Sundhara Raja, D.& Vasuki, S.. Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057894
American Medical Association (AMA)
Siva Sundhara Raja, D.& Vasuki, S.. Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057894
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057894