Diagnosis of acute lymphoblastic leukaemia using fuzzy logic and neural networks
S Ordaz-Gutierrez, Francisco Javier Gallegos-Funes, Alberto Rosales, Blanca E. Carvajal-Gámez, Dante Mújica‐Vargas · The Imaging Science Journal · 2012
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.