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Brain MRI Segmentation based on Different Clustering Algorithms

by Enver Küçükkülahli, Pakize Erdoğmuş, Kemal Polat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 3
Year of Publication: 2016
Authors: Enver Küçükkülahli, Pakize Erdoğmuş, Kemal Polat
10.5120/ijca2016912283

Enver Küçükkülahli, Pakize Erdoğmuş, Kemal Polat . Brain MRI Segmentation based on Different Clustering Algorithms. International Journal of Computer Applications. 155, 3 ( Dec 2016), 37-40. DOI=10.5120/ijca2016912283

@article{ 10.5120/ijca2016912283,
author = { Enver Küçükkülahli, Pakize Erdoğmuş, Kemal Polat },
title = { Brain MRI Segmentation based on Different Clustering Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 3 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number3/26589-2016912283/ },
doi = { 10.5120/ijca2016912283 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:00:19.896734+05:30
%A Enver Küçükkülahli
%A Pakize Erdoğmuş
%A Kemal Polat
%T Brain MRI Segmentation based on Different Clustering Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 3
%P 37-40
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study, MR Image segmentation has been realized with some clustering algorithms. In the study, the performances kmeans, lloyds, llyds-kmeans, pso clustering, ga clustering and jaya optimisation algorithms on some MR images from BRATS 2012 dataset have been compared. For the comparison, the manual segmentation results of MR images from BRATS 2012 dataset have been referenced and results have been compared with these referances. In the comparison RI (Rand Index), VOI (Variation of Information) and GCE (Global Consistency Error) have been used and results have been submitted. The results showed that the PSO algorithm yielded better results and has a better processing time than the other algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Kmeans particle swarm optimization genetic algorithm jaya optimization Lloyds

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