Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification

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@Article{marinakis_pap_2009,
  title =        "Pap smear diagnosis using a hybrid intelligent scheme
                 focusing on genetic algorithm based feature selection
                 and nearest neighbor classification",
  volume =       "39",
  ISSN =         "0010-4825",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0010482508001674",
  DOI =          "doi:10.1016/j.compbiomed.2008.11.006",
  abstract =     "The term pap-smear refers to samples of human cells
                 stained by the so-called Papanicolaou method. The
                 purpose of the Papanicolaou method is to diagnose
                 pre-cancerous cell changes before they progress to
                 invasive carcinoma. In this paper a metaheuristic
                 algorithm is proposed in order to classify the cells.
                 Two databases are used, constructed in different times
                 by expert MDs, consisting of 917 and 500 images of pap
                 smear cells, respectively. Each cell is described by 20
                 numerical features, and the cells fall into 7 classes
                 but a minimal requirement is to separate normal from
                 abnormal cells, which is a 2 class problem. For finding
                 the best possible performing feature subset selection
                 problem, an effective genetic algorithm scheme is
                 proposed. This algorithmic scheme is combined with a
                 number of nearest neighbour based classifiers. Results
                 show that classification accuracy generally outperforms
                 other previously applied intelligent approaches.",
  number =       "1",
  journal =      "Computers in Biology and Medicine",
  author =       "Yannis Marinakis and Georgios Dounias and 
                 Jan Jantzen",
  month =        jan,
  year =         "2009",
  keywords =     "genetic algorithms, genetic programming, artificial
                 intelligence and medical diagnosis, data mining,
                 feature selection problem, nearest neighbor based
                 classifiers, Pap-smear classification",
  pages =        "69--78",
}

Genetic Programming entries for Yannis Marinakis Georgios Dounias Jan Jantzen

Citations