Automatic screening of age-related macular degeneration and retinal abnormalities
| Autor: | Neil M. Bressler, David E. Freund, Philippe Burlina, B. Dupas |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Pathology
medicine.medical_specialty Aging genetic structures Single class chemistry.chemical_compound Automation Macular Degeneration Retinal Diseases Age related medicine Humans Pathological Retina Blindness business.industry Retinal Macular degeneration medicine.disease eye diseases medicine.anatomical_structure chemistry Anomaly detection sense organs business Algorithms |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|