학술논문
Automatic screening of age-related macular degeneration and retinal abnormalities
Document Type
Conference
Author
Source
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE. :3962-3966 Aug, 2011
Subject
Language
ISSN
1557-170X
1094-687X
1558-4615
1094-687X
1558-4615
Abstract
We describe a novel approach for screening retinal imagery to detect evidence of abnormalities. In this paper, we focus our efforts on age-related macular degeneration (AMD), a pathology that may often go undetected in the early or intermediate stages, and can lead to a neovascular form often resulting in blindness, if untreated. Our strategy for retinal anomaly detection is to employ a single class classifier applied to fundus imagery. We use a multiresolution locally-adaptive scheme that identifies both normal and anomalous regions within the retina. We do this by using a hybrid parametric/non-parametric characterization of the support of the probability distribution of normal retinal tissue in color and intensity feature space. We apply this approach to screen for evidence of AMD on a dataset of 66 healthy and pathological cases and found a detection sensitivity and specificity of 95% and 96%.