Abstract
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. © 2009 Springer-Verlag Berlin Heidelberg.
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Gómez-Mayorga, M. E., Gallegos-Funes, F. J., De-La-Rosa-Vázquez, J. M., Cruz-Santiago, R., & Ponomaryov, V. (2009). Diagnosis of cervical cancer using the median M-type radial basis function (MMRBF) neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5845 LNAI, pp. 258–267). https://doi.org/10.1007/978-3-642-05258-3_23
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