Automatic Analysis of Digital Retinal Images for Glaucoma Detection
| Autor: | Alexandre Guerre, Jesús Martínez del Rincón, Paul Miller, Augusto Azuara-Blanco |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Guerre, A, Martinez-del-Rincon, J, Miller, P & Azuara-Blanco, A 2014, ' Automatic Analysis of Digital Retinal Images for Glaucoma Detection ', Paper presented at Irish Machine Vision and Image Processing Conference, Derry, United Kingdom, 27/08/2014-29/08/2014 . < https://sites.google.com/site/imvip2014/technical-program > Queen's University Belfast-PURE |
| Popis: | In this paper we propose a novel automated glaucoma detection framework for mass-screening that operates on inexpensive retinal cameras. The proposed methodology is based on the assumption that discriminative features for glaucoma diagnosis can be extracted from the optical nerve head structures,such as the cup-to-disc ratio or the neuro-retinal rim variation. After automatically segmenting the cup and optical disc, these features are feed into a machine learning classifier. Experiments were performed using two different datasets and from the obtained results the proposed technique providesbetter performance than approaches based on appearance. A main advantage of our approach is that it only requires a few training samples to provide high accuracy over several different glaucoma stages. |
| Databáze: | OpenAIRE |
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