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.
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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: Aguirre, A.H., Borja, R.M., Garciá, C.A.R. (eds) MICAI 2009: Advances in Artificial Intelligence. MICAI 2009. Lecture Notes in Computer Science(), vol 5845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05258-3_23
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DOI: https://doi.org/10.1007/978-3-642-05258-3_23
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