%0 Journal Article
%T Automatic classification of leukocytes
%A Mir£¿i£¿ Stanislav
%A Jorgovanovi£¿ Nikola
%J Journal of Automatic Control
%D 2006
%I Faculty of Electronics, Belgrade
%R 10.2298/jac0601029m
%X 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.
%K differential blood count
%K artificial neural networks
%U http://www.doiserbia.nb.rs/img/doi/1450-9903/2006/1450-99030601029M.pdf