Genetic Programming and Feature Selection for Classification of Breast Masses in Mammograms

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Nandi:2006:EMBS,
  author =       "R. J. Nandi and A. K. Nandi and R. Rangayyan and 
                 D. Scutt",
  title =        "Genetic Programming and Feature Selection for
                 Classification of Breast Masses in Mammograms",
  booktitle =    "28th Annual International Conference of the IEEE
                 Engineering in Medicine and Biology Society, EMBS '06",
  year =         "2006",
  pages =        "3021--3024",
  address =      "New York, USA",
  month =        aug,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "1-4244-003303",
  ISSN =         "1557-170X",
  DOI =          "doi:10.1109/IEMBS.2006.260460",
  abstract =     "A dataset of 57 breast mass mammographic images, each
                 with 22 features computed, was used in this
                 investigation. The extracted features relate to
                 edge-sharpness, shape, and texture. The novelty of this
                 paper is the adaptation and application of genetic
                 programming (GP). To refine the pool of features
                 available to the GP classifier, we used five
                 feature-selection methods, including three statistical
                 measures Student's t-test, Kolmogorov-Smirnov Test, and
                 Kullback-Leibler Divergence. Both the training and test
                 accuracies obtained were above 99.5percent for training
                 and typically above 98percent for testing",
  notes =        "Dept. of Electr. Eng. & Electron., Liverpool Univ.",
}

Genetic Programming entries for R J Nandi Asoke K Nandi R M Rangayyan Diane Scutt

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