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)


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.


Chronic Lymphocytic Leukemia Malignant Mesothelioma Scale Space Diagnostic Data Cytological Specimen 
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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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