Information Technology for the Morphological Analysis of the Lymphoid Cell Nuclei

  • Igor Gurevich
  • Dmitry Harazishvili
  • Irina Jernova
  • Andrei Khilkov
  • Alexey Nefyodov
  • Ivan Vorobjev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

The new results of the research in the field of automation of hematopoietic tumor diagnostics by analysis of the images of cytological specimens are presented. The main result is a new information technology for the morphological analysis of the lymphoid cell nuclei of patients with hematopoietic tumors based on the combined use of pattern recognition and image analysis techniques. The principal characteristic of the proposed technology is that the features used for description of lymphocyte nuclei are chosen and calculated from the images of specimens by image processing and analysis methods, and also by methods of mathematical morphology and Fourier analysis. The proposed technology provides transition from the diagnostic analysis of lymphocyte nuclei to diagnosing the patients with hematopoietic tumors by means of pattern recognition techniques. Experimental check of the technology shows that it can be successfully used in program system for automated diagnostics of the hematopoietic tumors.

Keywords

Morphological Analysis Image Analysis Technique Lymphoid Tumor Pattern Recognition Technique Monochrome Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Igor Gurevich
    • 1
  • Dmitry Harazishvili
    • 2
  • Irina Jernova
    • 1
  • Andrei Khilkov
    • 1
  • Alexey Nefyodov
    • 1
  • Ivan Vorobjev
    • 2
  1. 1.Scientific Council “Cybernetics” of the Russian Academy of SciencesMoscow, GSP-1Russian Federation
  2. 2.Hematological Scientific Center of the Russian Academy of Medical SciencesMoscowRussian Federation

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