Management of Neovascular AMD

Penha, Fernando M.; Rosenfeld, Philip J.

doi:10.1007/978-1-4614-0125-4_6

Cited by 1 publication

(1 citation statement)

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“…However, treatments to slow its progression exist and are different depending on the stage of the disease. These include prevention of oxidative damage, a treatment strategy based on supplements containing lutein, zeaxanthin, omega-3, vitamins C and E, and zinc, recommended for early stages [ 2 , 3 ], while anti-VEGF therapy or surgical operations are used for more advanced stages [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Automatic Screening and Grading of Age-Related Macular Degeneration from Texture Analysis of Fundus Images

Phan

Séoud²,

Chakor³

et al. 2016

Journal of Ophthalmology

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Age-related macular degeneration (AMD) is a disease which causes visual deficiency and irreversible blindness to the elderly. In this paper, an automatic classification method for AMD is proposed to perform robust and reproducible assessments in a telemedicine context. First, a study was carried out to highlight the most relevant features for AMD characterization based on texture, color, and visual context in fundus images. A support vector machine and a random forest were used to classify images according to the different AMD stages following the AREDS protocol and to evaluate the features' relevance. Experiments were conducted on a database of 279 fundus images coming from a telemedicine platform. The results demonstrate that local binary patterns in multiresolution are the most relevant for AMD classification, regardless of the classifier used. Depending on the classification task, our method achieves promising performances with areas under the ROC curve between 0.739 and 0.874 for screening and between 0.469 and 0.685 for grading. Moreover, the proposed automatic AMD classification system is robust with respect to image quality.

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Section: Introductionmentioning

confidence: 99%