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Article title WAY OF SEGMENTATION ANGIOGRAM’S OF AN EYEGROUND ON THE BASIS OF NEURAL NETWORK ANALYSIS PIXELS RGB-CODES
Authors R.A. Tokmakova, A.N. Brezhneva, S.A. Filist
Section SECTION I. HARDWARE AND SOFTWARE OF FUNCTIONAL DIAGNOSTICS AND THERAPY
Month, Year 09, 2009 @en
Index UDC 519.21
DOI
Abstract In article ways of segmentation of images of the eyeground, based on use neural network structures for analysis RGB of codes of pixels and a background flare are considered. Models neural network structures and examples of work of algorithms of segmentation on a number of pathological formations on the image of an eyeground are resulted.

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Keywords Neural networks; image of eyeground; classification and segmentation of images.
References 1. С.В. Пихлап, Р.А. Томакова. С.А. Филист. Интерактивная среда для обработки и анализа изображений глазного дна / «Прикладная радиоэлектроника. Состояние и перспективы развития» (МРФ-2008): сб. трудов III Международного радиоэлектронного Форум. – Харьков, 2008. – С.75-78.
2. С. Осовский. Нейронные сети для обработки информации. – М.: Финансы и статистика, 2002. – 344 с.

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