Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images
Joint Authors
Ni Ni, Soe
Tian, J.
Marziliano, Pina
Wong, Hong-Tym
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Optical coherence tomography is a high resolution, rapid, and noninvasive diagnostic tool for angle closure glaucoma.
In this paper, we present a new strategy for the classification of the angle closure glaucoma using morphological shape analysis of the iridocorneal angle.
The angle structure configuration is quantified by the following six features: (1) mean of the continuous measurement of the angle opening distance; (2) area of the trapezoidal profile of the iridocorneal angle centered at Schwalbe's line; (3) mean of the iris curvature from the extracted iris image; (4) complex shape descriptor, fractal dimension, to quantify the complexity, or changes of iridocorneal angle; (5) ellipticity moment shape descriptor; and (6) triangularity moment shape descriptor.
Then, the fuzzy k nearest neighbor (fkNN) classifier is utilized for classification of angle closure glaucoma.
Two hundred and sixty-four swept source optical coherence tomography (SS-OCT) images from 148 patients were analyzed in this study.
From the experimental results, the fkNN reveals the best classification accuracy (99.11±0.76%) and AUC (0.98±0.012) with the combination of fractal dimension and biometric parameters.
It showed that the proposed approach has promising potential to become a computer aided diagnostic tool for angle closure glaucoma (ACG) disease.
American Psychological Association (APA)
Ni Ni, Soe& Tian, J.& Marziliano, Pina& Wong, Hong-Tym. 2014. Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images. Journal of Ophthalmology،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1042659
Modern Language Association (MLA)
Ni Ni, Soe…[et al.]. Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images. Journal of Ophthalmology No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1042659
American Medical Association (AMA)
Ni Ni, Soe& Tian, J.& Marziliano, Pina& Wong, Hong-Tym. Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images. Journal of Ophthalmology. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1042659
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042659