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Elements of the information technology of cytological specimen analysis: Taxonomy and factor analysis

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An Erratum to this article was published on 01 April 2006

Abstract

The automated software system “Black Square,” Version 1.2 is described. The system is intended for the automation of image processing, analysis, and recognition. It is an open system for generating new knowledge: objects, algorithms of image processing, recognition procedures originally not intended for image processing, and methods for solving applied problems. The system combines the features of information retrieval, reference, training, and computing systems.

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References

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Authors and Affiliations

  1. Dorodnicyn Computing Center, Russian Academy of Sciences, ul. Vavilova 40, Moscow, 119991, Russia

    I. B. Gurevich & A. A. Trykova

  2. Hematological Scientific Center, Russian Academy of Medical Sciences, Novyi Zykovskii proezd 4a, Moscow, 125167, Russia

    D. V. Harazishvili & I. A. Vorob’ev

  3. Faedo Institute of Information Science and Technologies, Italia National Research Council, via G. Moruzzi 1, 56124, Pisa, Italy

    O. Salvetti

Authors
  1. I. B. Gurevich
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  2. D. V. Harazishvili
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  3. O. Salvetti
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  4. A. A. Trykova
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  5. I. A. Vorob’ev
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Additional information

This work was partially supported by the Russian Foundation for Basic Research, project nos. 03-07-90406, 05-04-49846, and 05-07-08000; by the INTAS grant no. 04-77-7067; by the Cooperative grant “Image Analysis and Synthesis: Theoretical Foundations and Prototypical Applications in Medical Imaging” within agreement between Italian National Research Council and Russian Academy of Sciences (RAS); by the grant of the RAS in the framework of the Program “Fundamental Science to Medicine.”

An erratum to this article is available at http://dx.doi.org/10.1134/S1054661806020131.

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Gurevich, I.B., Harazishvili, D.V., Salvetti, O. et al. Elements of the information technology of cytological specimen analysis: Taxonomy and factor analysis. Pattern Recognit. Image Anal. 16, 113–115 (2006). https://doi.org/10.1134/S1054661806010366

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  • DOI: https://doi.org/10.1134/S1054661806010366

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