Diagnosis of cervical cancer using the Median M-Type Radial Basis Function (MMRBF) neural network. (English)
Aguirre, Arturo Hernández (ed.) et al., MICAI 2009: Advances in artificial intelligence. 8th Mexican international conference on artificial intelligence, Guanajuato, México, November 9‒13, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-05257-6/pbk). Lecture Notes in Computer Science 5845. Lecture Notes in Artificial Intelligence, 258-267 (2009).
Summary: The automatic analysis of Pap smear microscopic images is one of the most interesting fields in biomedical image processing. In this paper we present the capability of the Median M-Type Radial Basis Function (MMRBF) neural network in the classification of cervical cancer cells. From simulation results we observe that the MMRBF neural network has better classification capabilities in comparison with the Median RBF algorithm used as comparative.
Start
Contact
Print
General Help
