TY - JOUR
T1 - Diagnosis of acute lymphoblastic leukaemia using fuzzy logic and neural networks
AU - Ordaz-Gutierrez, S.
AU - Gallegos-Funes, F. J.
AU - Rosales-Silva, A. J.
AU - Carvajal-Gamez, B. E.
AU - Mujica-Vargas, D.
PY - 2013/1
Y1 - 2013/1
N2 - 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.
AB - 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.
KW - Fuzzy logic
KW - Leukaemia
KW - Radial basis function neural network
UR - http://www.scopus.com/inward/record.url?scp=84873831356&partnerID=8YFLogxK
U2 - 10.1179/1743131X11Y.0000000057
DO - 10.1179/1743131X11Y.0000000057
M3 - Artículo
SN - 1368-2199
VL - 61
SP - 57
EP - 64
JO - Imaging Science Journal
JF - Imaging Science Journal
IS - 1
ER -