Paper Title :MRI Brain Tumor Image Segmentation Using Various Clustering Techniques

Author :Sneha r. Dhurkunde, shailaja a. Patil

Article Citation :Sneha r. Dhurkunde ,shailaja a. Patil , (2016 ) " MRI Brain Tumor Image Segmentation Using Various Clustering Techniques " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 56-60, Volume-4,Issue-2

Abstract : 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 Reasoning.

Type : Research paper

Published : Volume-4,Issue-2

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