A Technique for Extraction of Diagnostic Data from Cytological Specimens

  • Igor Gurevich
  • Andrey Khilkov
  • Dmitry Murashov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)

Abstract

In this paper, a possibility of developing a new criterion for diagnostics of hematopoietic tumors, such as chronic B-cell lymphatic leukemia, transformation of chronic B-cell lymphatic leukemia into lymphosarcoma, and primary B-cell lymphosarcoma, from images of cell nuclei of lymphatic nodes is considered. A method for image analysis of lymphatic node specimens is developed on the basis of the scale space approach. A diagnostically important criterion is defined as a total amount of points of spatial intensity extrema in the families of blurred images generated by the given image of a cell nucleus. The procedure for calculating criterion values is presented.

Keywords

Chronic Lymphocytic Leukemia Malignant Mesothelioma Scale Space Diagnostic Data Cytological Specimen 
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
  • Andrey Khilkov
    • 1
  • Dmitry Murashov
    • 1
  1. 1.Scientific Council “Cybernetics” of the Russian Academy of SciencesMoscowRussian Federation

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