Diagnosis of acute lymphoblastic leukaemia using fuzzy logic and neural networks

In this paper, we present an algorithm for diagnosis of acute lymphoblastic leukaemia (ALL) in developing countries like Mexico. The proposed method uses a robust fuzzy logic algorithm to classify the ALL using microscopic cell images obtained by smears of bone marrow aspirates. We improve the resul...

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Bibliographic Details
Published in:The imaging science journal 2013-01, Vol.61 (1), p.57-64
Main Authors: Ordaz-Gutierrez, S, Gallegos-Funes, F J, Rosales-Silva, A J, Carvajal-Gamez, B E, Mujica-Vargas, D
Format: Article
Language:English
Subjects:
fuzzy logic
leukaemia
radial basis function neural network
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Summary:In this paper, we present an algorithm for diagnosis of acute lymphoblastic leukaemia (ALL) in developing countries like Mexico. The proposed method uses a robust fuzzy logic algorithm to classify the ALL using microscopic cell images obtained by smears of bone marrow aspirates. We improve the results of fuzzy method using a radial basis function neural network to realise the diagnosis.
ISSN:1368-2199
1743-131X
DOI:10.1179/1743131X11Y.0000000057