Artificial Kohonen's neural networks for computer capillarometry

Sergey Doncow; Leonid Orbachevskyi; Valentin Birukow; Nina V. Stepanova

doi:10.1117/12.304962

1 April 1998 Artificial Kohonen's neural networks for computer capillarometry

Sergey Doncow, Leonid Orbachevskyi, Valentin Birukow, Nina V. Stepanova

Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304962
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

Abstract

Analysis of disorders in microhemocirculation appearing during development of various genesis pathological processes allows to manifest their start-up and pathogenic mechanisms. Numerical estimation of capillary and arteriolar-veinular bed parameters gives a possibility to predict development of these states. Automatically controlled estimation of even simple parameters of microhemocirculation bed, such as vessel length in the eye conjuctiva, their amount, size, winding, etc., allows to speak about a new method in the express diagnostics of computer capillarometry. The present work is devoted to the methods of automated determination of microvessel length. The problem is solved by application of one-dimension Kohonen's networks for adaptive uniform piecewise approximation of capillary images. Kohonen's units are the approximation points, and their position is set during the self-organization of the neural network.

Citation Download Citation

Sergey Doncow, Leonid Orbachevskyi, Valentin Birukow, and Nina V. Stepanova "Artificial Kohonen's neural networks for computer capillarometry", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304962

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KEYWORDS

Capillaries

Neural networks

Eye

Diagnostics

Blood circulation

Connective tissue

Distance measurement

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