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

Frantisek Pluhacek; Jaroslav Pospisil; Tomas Kubena; Klara Maresova

doi:10.1117/12.500033

14 October 2003 Detection of optic disc glaucoma damages using image analysis and artificial neural net

Frantisek Pluhacek, Jaroslav Pospisil, Tomas Kubena, Klara Maresova

Proceedings Volume 5143, Novel Optical Instrumentation for Biomedical Applications; (2003) https://doi.org/10.1117/12.500033
Event: European Conferences on Biomedical Optics 2003, 2003, Munich, Germany

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 color 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.

Citation Download Citation

Frantisek Pluhacek, Jaroslav Pospisil, Tomas Kubena, and Klara Maresova "Detection of optic disc glaucoma damages using image analysis and artificial neural net", Proc. SPIE 5143, Novel Optical Instrumentation for Biomedical Applications, (14 October 2003); https://doi.org/10.1117/12.500033

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