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Diagnosis of Cervical Cancer Using the Median M-Type Radial Basis Function (MMRBF) Neural Network

2009; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-05258-3_23

1611-3349

Margarita E. Gómez-Mayorga, Francisco J. Gallegos‐Funes, J. de la Rosa, R. Cruz-Santiago, Volodymyr Ponomaryov,

Image Processing Techniques and Applications

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.