• DocumentCode
    714620
  • Title

    Segmentation of brain MRI images by using type-II fuzzy clustering algorithm

  • Author

    Toker, Ipek ; Dogan, Berat ; Pinar, Sedef Kent

  • Author_Institution
    Biyomedikal Muhendisligi Enstitusu, Bogazici Univ., İstanbul, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    1909
  • Lastpage
    1912
  • Abstract
    In this study, segmentation of Multiple Sclerosis (MS) lesions from synthetic brain MRI images was aimed by using fuzzy clustering algorithms. The performances of fuzzy c-means algorithm and type-2 fuzzy c-means algorithm were compared. After several experiments it was shown that, the type-2 fuzzy c-means algorithm performed better than the standard fuzzy c-means algorithm.
  • Keywords
    biomedical MRI; brain; diseases; fuzzy set theory; image segmentation; neurophysiology; pattern clustering; MS lesions; brain MRI image segmentation; multiple Sclerosis lesions; type-2 fuzzy c-means algorithm; type-II fuzzy clustering algorithm; Clustering algorithms; Electrocardiography; Image segmentation; Lesions; Magnetic resonance imaging; Multiple sclerosis; Multiple Sclerosis; clustering; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130233
  • Filename
    7130233
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=714620