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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130233
