Blood cell identification using neural networks
Sheikh, H.; Bin Zhu; Micheli-Tzanakou, E.
Bioengineering Conference, 1996., Proceedings of the 1996 IEEE Twenty-Second Annual Northeast
Volume , Issue , 14-15 Mar 1996 Page(s):119 - 120
Digital Object Identifier   10.1109/NEBC.1996.503246
Summary:The objective of this project is to propose a method of identifying three major blood cell types namely erythrocytes, leukocytes and platelets and to classify them based upon their morphological features using neural networks. The data are collected using peripheral blood smears from clinical patients. The image acquisition requires 100× magnification on all the blood smears, the preprocessing involves the use of median and edge enhancing filters and the feature extraction is done by performing the wavelet transform on the images. Finally classification of the blood cell types is done using ALOPEX and back propagation-trained neural networks. The efficacy of both networks is then compared by comparing their outputs and number of iterations required to reach the final result

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