Information technology for the morphological analysis of the lymphoid cell nuclei 1

Igor Gurevich, Dmitry Harazishvili, Irina Jernova, Andrei Khilkov, Alexey Nefyodov, Ivan Vorobjev

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJosef Bigun, Tomas Gustavsson
PublisherSpringer Verlag
Pages541-548
Number of pages8
ISBN (Print)3540406018
DOIs
Publication statusPublished - Jan 1 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2749
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Gurevich, I., Harazishvili, D., Jernova, I., Khilkov, A., Nefyodov, A., & Vorobjev, I. (2003). Information technology for the morphological analysis of the lymphoid cell nuclei 1. In J. Bigun, & T. Gustavsson (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 541-548). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2749). Springer Verlag. https://doi.org/10.1007/3-540-45103-x_72