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

  • I. Gurevich
  • V. Beloozerov
  • A. Myagkov
  • Yu. Sidorov
  • Yu. Trusova
Software and Hardware for Pattern Recognition and Image Analysis

DOI: 10.1134/S1054661811020398

Cite this article as:
Gurevich, I., Beloozerov, V., Myagkov, A. et al. Pattern Recognit. Image Anal. (2011) 21: 392. doi:10.1134/S1054661811020398

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.

Copyright information

© Pleiades Publishing, Ltd. 2011

Authors and Affiliations

  • I. Gurevich
    • 1
  • V. Beloozerov
    • 1
  • A. Myagkov
    • 1
  • Yu. Sidorov
    • 2
  • Yu. Trusova
    • 1
  1. 1.Dorodnicyn Computing CenterRussian Academy of SciencesMoscowRussia
  2. 2.Moscow State UniversityMoscowRussia