Rank M-Type Radial Basis Function (RMRBF) neural network for pap smear microscopic image classification

Francisco J. Gallegos-Funes, Margarita E. Gómez-Mayorga, José Luis Lopez-Bonilla, Rene Cruz-Santiago

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In this paper we present the capability of the Rank M-Type Radial Basis Function (RMRBF) neural network in the classification of Pap smear microscopic images. From simulation results we observe that the RMRBF neural network has better classification capabilities in comparison with other RBF based algorithms.

Original languageEnglish
Pages (from-to)542-554
Number of pages13
JournalApeiron
Volume16
Issue number4
StatePublished - Oct 2009

Keywords

  • Pap smear microscopic images
  • Rank M-type Radial Basis Function neural network

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