24 December 2013 Classification of wet aged related macular degeneration using optical coherence tomographic images
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Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90671B (2013) https://doi.org/10.1117/12.2051464
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom
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.
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Anam Haq, Fouwad Jamil Mir, Ubaid Ullah Yasin, Shoab A. Khan, "Classification of wet aged related macular degeneration using optical coherence tomographic images", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90671B (24 December 2013); doi: 10.1117/12.2051464; https://doi.org/10.1117/12.2051464
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