Feature extraction and classification of blood cells for an automated differential blood count system
G. Ongun, Uğur Halıcı, Kemal Leblebi̇ci̇oğlu, Volkan Atalay, Meral Beksaç, Mehmet Sinan Beksaç · 2002
The differential blood counter system we developed is an attempt to automate the task performed manually by experts in routine. Feature extraction and classification are two important components of our automated system. In this paper, classification of blood cells using various approaches including neural network based classifiers and support vector machine are presented together with the features used in the classification.