Brain MRI image segmentation using fuzzy C-means clustering
In this work, Fuzzy c-means (FCM) clustering is used to cluster brain MRI images into regions. The MRI images are from patients who have brain tumor. Experiments show that the FCM-based algorithm of brain-MRI image segmentation yields very good results. Segmented image can help physicians to identify tumor tissue in brain, and monitor effectiveness of chemotherapy treatment.
Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010
Wei, Y.; Brown, H. Keith; Tao, X.; and Moore, S., "Brain MRI image segmentation using fuzzy C-means clustering" (2010). PCOM Scholarly Papers. 1287.