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Detection of optic disc glaucoma damages using image analysis and artificial neural net

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Abstract

A new method of the optic disc glaucomatous damage detection and the diagnosis determination is presented in this paper. This method is based on the measurement of the relative size of the representative pallor area on the colour digital optic disc image and its evaluation using a statistical method and computer-simulated artificial neural net. Finally, the dependence of the relative pallor area size of the glaucomatous eye and glaucomatous visual field changes is studied.

© 2003 SPIE

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