International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Aug. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 88
Paper Published : 1239
No. of Authors : 3115
  Journal Paper

Paper Title
MRI Brain Tumor Image Segmentation Using Various Clustering Techniques

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.


Author - Sneha r. Dhurkunde, shailaja a. Patil

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| Published on 2016-03-11
   
   
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