Systems of neuron image recognition for solving problems of automated diagnoses of neurodegenerative diseases

Authors:
I. Gurevich;V. Beloozerov;A. Myagkov;Yu. Sidorov;Yu. Trusova
Affiliations:
Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia 119333;Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia 119333;Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia 119333;Moscow State University, Moscow, Russia 119234;Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia 119333
Venue:
Pattern Recognition and Image Analysis
Year:
2011

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Abstract

The study of the functioning and development of the nervous system and its main structural-functional units, neurons, is a critical direction in modern medicine and neurobiology. The key stage in this process is analysis of neurons in microscopic images. The application of methods based on mathematical theory of pattern recognition and image analysis creates wide novel possibilities for analyzing similar representations of experimental data. The question on creating reliable automated systems for recognition and analysis of histological specumens remains, however, open. In the survey, we present results of an analysis of the methods and systems meant for automated neuron image analysis based on studies published in leading scientific journals within the past 25 years.