Prognostic comparison of statistical, neural and fuzzy methods of analysis of breast cancer image cytometric data

  • H. Seker*
  • , M. Odetayo
  • , D. Petrovic
  • , R. N.G. Naguib
  • , C. Bartoli
  • , L. Alasio
  • , M. S. Lakshmi
  • , G. V. Sherbet
  • *Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    4 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)3811-3814
    Number of pages4
    JournalAnnual Reports of the Research Reactor Institute, Kyoto University
    Volume4
    Publication statusPublished (VoR) - 2001
    Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
    Duration: 25 Oct 200128 Oct 2001

    Keywords

    • Artificial neural networks
    • Fine-needle aspirates
    • Fuzzy K-nearest neighbour classifier
    • Knowledge based systems
    • Logistic regression
    • Oncology
    • Survival analysis

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