White Blood Cell Automatic Counting System Based on Support Vector Machine

Authors:
Tomasz Markiewicz;Stanisław Osowski;Bożena Mariańska
Affiliations:
Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland;Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland and Military University of Technology, Warsaw, Poland;Institute of Hematology, Warsaw, Poland
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

The paper presents the automatic system for white blood cell recognition on the basis of the image of bone marrow smear. The paper proposes the complete system solving all problems, beginning from cell extraction using watershed algorithm, generation of different features based on texture, geometry and the statistical description of image intensity, feature selection using Linear Support Vector Machine and final classification by applying Gaussian kernel Support Vector Machine. The results of numerical experiments of recognition of 10 classes of blood cells of patients suffering from leukaemia have shown that the proposed system is sufficiently accurate so as to find practical application in the hospital practice.