• DocumentCode
    2042776
  • Title

    Type 2 fuzzy sets and neuro-fuzzy clustering of radiographic tibia images

  • Author

    John, R.I. ; Innocent, P.R. ; Barnes, M.R.

  • Author_Institution
    De Montfort Univ., Leicester, UK
  • Volume
    3
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    1375
  • Abstract
    This paper is concerned with pre-processing of data for submission to neural networks. In particular the use of type 2 fuzzy sets to assist in this process is discussed and the results of using type 2 sets with FuzzyART is presented for clustering of radiographic tibia images. These results indicate that the approach outperforms a type 1 approach, for certain tibia problems, and that the type 2 solution assisted the expert in analysing a set of images that he/she was unable to classify originally
  • Keywords
    fuzzy neural nets; fuzzy set theory; image classification; medical image processing; radiography; FuzzyART; clustering; fuzzy neural networks; image analysis; neuro-fuzzy clustering; radiographic tibia images; tibia stress fractures; type 2 fuzzy sets; Biomedical imaging; Bones; Engines; Fuzzy sets; Image analysis; Injuries; Neural networks; Radiography; Stress; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.619744
  • Filename
    619744