Breast Cancer Detection using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4215

  title =        "Breast Cancer Detection using Genetic Programming",
  author =       "Hong Guo and Qing Zhang and Asoke K. Nandi",
  bibdate =      "2008-04-10",
  bibsource =    "DBLP,
  booktitle =    "Proceedings of the First International Conference on
                 Biomedical Electronics and Devices, BIOSIGNALS 2008",
  publisher =    "INSTICC - Institute for Systems and Technologies of
                 Information, Control and Communication",
  year =         "2008",
  editor =       "Pedro Encarna{\c c}{\~a}o and Ant{\'o}nio Veloso",
  isbn13 =       "978-989-8111-18-0",
  pages =        "334--341",
  volume =       "2",
  address =      "Funchal, Madeira, Portugal",
  month =        jan # " 28-31",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "8 pages",
  abstract =     "Breast cancer diagnosis have been investigated by
                 different machine learning methods. This paper proposes
                 a new method for breast cancer diagnosis using a single
                 feature generated by Genetic Programming(GP). GP as an
                 evolutionary mechanism that provides a training
                 structure to generate features. The presented approach
                 is experimentally compared with some kernel feature
                 extraction methods: The Kernel Principal Component
                 Analysis (KPCA) and Kernel Generalised Discriminant
                 Analysis (KGDA). Results demonstrate the capability of
                 this method to transform information from high
                 dimensional feature space into one dimensional space
                 for breast cancer diagnosis.",
  notes =        "",

Genetic Programming entries for Hong Guo Qing Zhang Asoke K Nandi