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Automatic classification of leukocytes

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Author(s): Mirčić Stanislav | Jorgovanović Nikola

Journal: Journal of Automatic Control
ISSN 1450-9903

Volume: 16;
Issue: 1;
Start page: 29;
Date: 2006;
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Keywords: differential blood count | artificial neural networks

ABSTRACT
This paper presents a novel algorithm for the automatic compilation of differential blood count (DBC), which is based on the direct analysis of a blood smear image and artificial neural networks. The results of the algorithm testing show high sensitivity of the algorithm in leukocyte detection and classification accuracy of 86%. Also, the algorithm enables the detection of potentially falsely classified leukocytes and in that way, with the help of a hematological expert, enables additional increase in the DBC compilation quality.
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