Multiple Network CGP for the Classification of Mammograms

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Abstract

This paper presents a novel representation of Cartesian genetic programming (CGP) in which multiple networks are used in the classification of high resolution X-rays of the breast, known as mammograms. CGP networks are used in a number of different recombination strategies and results are presented for mammograms taken from the Lawrence Livermore National Laboratory database.

Original languageEnglish
Title of host publicationAPPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS
EditorsM Giacobini, A Brabazon, S Cagnoni, GA DiCaro, A Ekart, AI EsparciaAlcazar, M Farooq, A Fink, P Machado, J McCormack, M ONeill, F Neri, M Preuss, F Rothlauf, E Tarantino, S Yang
Place of PublicationBERLIN
PublisherSpringer
Pages405-413
Number of pages9
Volume5484 LNCS
ISBN (Print)978-3-642-01128-3
Publication statusPublished - 2009
Event12th European Conference on Genetic Programming - Tubingen
Duration: 15 Apr 200917 Apr 2009

Conference

Conference12th European Conference on Genetic Programming
CityTubingen
Period15/04/0917/04/09

Keywords

  • Evolutionary algorithms
  • Cartesian genetic programming
  • mammography
  • MICROCALCIFICATIONS

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