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Proceedings Paper

Classification of wet aged related macular degeneration using optical coherence tomographic images
Author(s): Anam Haq; Fouwad Jamil Mir; Ubaid Ullah Yasin; Shoab A. Khan
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Paper Abstract

Wet Age related macular degeneration (AMD) is a type of age related macular degeneration. In order to detect Wet AMD we look for Pigment Epithelium detachment (PED) and fluid filled region caused by choroidal neovascularization (CNV). This form of AMD can cause vision loss if not treated in time. In this article we have proposed an automated system for detection of Wet AMD in Optical coherence tomographic (OCT) images. The proposed system extracts PED and CNV from OCT images using segmentation and morphological operations and then detailed feature set are extracted. These features are then passed on to the classifier for classification. Finally performance measures like accuracy, sensitivity and specificity are calculated and the classifier delivering the maximum performance is selected as a comparison measure. Our system gives higher performance using SVM as compared to other methods.

Paper Details

Date Published: 24 December 2013
PDF: 5 pages
Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90671B (24 December 2013); doi: 10.1117/12.2051464
Show Author Affiliations
Anam Haq, College of E&ME, NUST (Pakistan)
Fouwad Jamil Mir, Pakistan Institute of Engineering and Applied Sciences (Pakistan)
Ubaid Ullah Yasin, Armed Forces Institute of Ophthalmology (Pakistan)
Shoab A. Khan, College of E&ME, NUST (Pakistan)


Published in SPIE Proceedings Vol. 9067:
Sixth International Conference on Machine Vision (ICMV 2013)
Branislav Vuksanovic; Antanas Verikas; Jianhong Zhou, Editor(s)

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