MRI Brain Tumor Image Segmentation Using Various Clustering Techniques
Brain tumor is a disconnected magnification of brain cells within the brain. In this paper, we present an efficient
brain tumor segmentation methods, that can detect tumor and locate it in the brain MRI images. The result of the clustering
algorithm and its domain efficiency are calculated through the algorithms. In this paper, two clustering algorithms namely Kmeans
clustering and fuzzy C-means clustering algorithm are implemented and the performance is analysed predicted on
their clustering result quality. The comportment of both the algorithms depends on the number of data points as well as
number of clusters. The execution time for each algorithm is analysed and results are compared with one another.
Keywords— Image Segmentation, K-means Clustering, fuzzy C-means Clustering, Feature extraction, Approximate