Automatic Segmentation and Measurement of Vasculature in Retinal Fundus Images Using Probabilistic Formulation
Joint Authors
Yin, Yi
Adel, Mouloud
Bourennane, Salah
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-08
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The automatic analysis of retinal blood vessels plays an important role in the computer-aided diagnosis.
In this paper, we introduce a probabilistic tracking-based method for automatic vessel segmentation in retinal images.
We take into account vessel edge detection on the whole retinal image and handle different vessel structures.
During the tracking process, a Bayesian method with maximum a posteriori (MAP) as criterion is used to detect vessel edge points.
Experimental evaluations of the tracking algorithm are performed on real retinal images from three publicly available databases: STARE (Hoover et al., 2000), DRIVE (Staal et al., 2004), and REVIEW (Al-Diri et al., 2008 and 2009).
We got high accuracy in vessel segmentation, width measurements, and vessel structure identification.
The sensitivity and specificity on STARE are 0.7248 and 0.9666, respectively.
On DRIVE, the sensitivity is 0.6522 and the specificity is up to 0.9710.
American Psychological Association (APA)
Yin, Yi& Adel, Mouloud& Bourennane, Salah. 2013. Automatic Segmentation and Measurement of Vasculature in Retinal Fundus Images Using Probabilistic Formulation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-458265
Modern Language Association (MLA)
Yin, Yi…[et al.]. Automatic Segmentation and Measurement of Vasculature in Retinal Fundus Images Using Probabilistic Formulation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-458265
American Medical Association (AMA)
Yin, Yi& Adel, Mouloud& Bourennane, Salah. Automatic Segmentation and Measurement of Vasculature in Retinal Fundus Images Using Probabilistic Formulation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-458265
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458265