Multiple Network CGP for the Classification of Mammograms

Authors:
Katharina Völk;Julian F. Miller;Stephen L. Smith
Affiliations:
Department of Electronics, The University of York, Heslington, UK YO10 5DD;Department of Electronics, The University of York, Heslington, UK YO10 5DD;Department of Electronics, The University of York, Heslington, UK YO10 5DD
Venue:
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Year:
2009

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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.