Method of fundus vessels classification based on application of Kohonen’s self-organizing maps
A.M. Malapheyev, A.V. Kupriyanov, N.Yu. Ilyasova

Image Processing Systems Institute оf the RAS,
Samara State Aerospace University (SSAU)

Full text of article: Russian language.

Abstract:
In this paper, we suggest a diagnostic method for the earliest fundus diseases based on the diagnostic vessels parameters. The method is based on application of Kohonen’s self-organizing maps. We present experimental results of the method based on cumulative and full-scale-image computed parameters. We also compare the developed method with already-existing approaches.

Key words:
fundus vessels classification, Kohonen’s self-organizing maps, diagnostic parameters.

Citation:
Malapheyev AM, Kupriyanov AV, Ilyasova NYu. Method of fundus vessels classification based on application of Kohonen’s self-organizing maps [In Russian]. Computer Optics 2007; 31(1): 67-69.

References:

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