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Automatic extraction of the optic disc boundary for detecting retinal diseases
conference contribution
posted on 2016-02-09, 15:15 authored by Muhammad Salman Haleem, Liangxiu Han, Baihua LiBaihua Li, Andy Nisbet, Jano van Hemert, Michael VerhoekIn this paper, we propose an algorithm based on active shape model for the extraction of Optic Disc boundary. The determination of Optic Disc boundary is fundamental to the automation of retinal eye disease diagnosis because the Optic Disc Center is typically used as a reference point to locate other retinal structures, and any structural change in Optic Disc, whether textural or geometrical, can be used to determine the occurrence of retinal diseases such as Glaucoma. The algorithm is based on determining a model for the Optic Disc boundary by learning patterns of variability from a training set of annotated Optic Discs. The model can be deformed so as to reflect the boundary of Optic Disc in any feasible shape. The algorithm provides some initial steps towards automation of the diagnostic process for retinal eye disease in order that more patients can be screened with consistent diagnoses. The overall accuracy of the algorithm was 92% on a set of 110 images.
Funding
This work is supported by EPSRC-DHPA funded project ”Automatic Detection of Features in Retinal Imaging to Improve Diagnosis of Eye Diseases”.
History
School
- Science
Department
- Computer Science
Published in
Proceedings of the IASTED International Conference on Computer Graphics and Imaging, CGIM 2013Pages
40 - 47Citation
HALEEM, M.S. ... et al, 2013. Automatic extraction of the optic disc boundary for detecting retinal diseases. Proceedings of the IASTED International Conference on Computer Graphics and Imaging, CGIM 2013, Innsbruck, Austria, February 12th – 14th 2013, pp.40-47Publisher
© Acta PressVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2013ISBN
9780889869547;9780889869448Publisher version
Language
- en