Diagnosis of acute lymphoblastic leukaemia using fuzzy logic and neural networks

S. Ordaz-Gutierrez, F. J. Gallegos-Funes, A. J. Rosales-Silva, B. E. Carvajal-Gamez, D. Mujica-Vargas

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

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. © RPS 2013.
Original languageAmerican English
Pages (from-to)57-64
Number of pages50
JournalImaging Science Journal
DOIs
StatePublished - 1 Jan 2013

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