TY - GEN
T1 - Kernelized fuzzy c-means method in fast segmentation of demyelination plaques in multiple sclerosis
AU - Kawa, Jacek
AU - Pietka, Ewa
PY - 2007
Y1 - 2007
N2 - Fuzzy c-means method (FCM) is a popular tool for a fuzzy data processing. In the current study, a FCMbased method of fuzzy clustering in a kernel space has been implemented. First, a "kernel trick" is applied to the fuzzy cmeans algorithm. Then, the new method is employed for a fast automated segmentation of demyelination plaques in Multiple Sclerosis (MS). The clusters in a Gaussian kernel space are analysed in the histogram context and used during the initial classification of the brain tissue. Received classification masks are then used to detect the region of interest, eliminate false positives and label MS lesions.
AB - Fuzzy c-means method (FCM) is a popular tool for a fuzzy data processing. In the current study, a FCMbased method of fuzzy clustering in a kernel space has been implemented. First, a "kernel trick" is applied to the fuzzy cmeans algorithm. Then, the new method is employed for a fast automated segmentation of demyelination plaques in Multiple Sclerosis (MS). The clusters in a Gaussian kernel space are analysed in the histogram context and used during the initial classification of the brain tissue. Received classification masks are then used to detect the region of interest, eliminate false positives and label MS lesions.
UR - https://www.scopus.com/pages/publications/57649193141
U2 - 10.1109/IEMBS.2007.4353620
DO - 10.1109/IEMBS.2007.4353620
M3 - Conference contribution
C2 - 18003286
AN - SCOPUS:57649193141
SN - 1424407885
SN - 9781424407880
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 5616
EP - 5619
BT - 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
T2 - 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Y2 - 23 August 2007 through 26 August 2007
ER -