Brain MRI Segmentation based on Different Clustering Algorithms

Abstract

See, stats, and : https : / / www . researchgate . net / publication / 311706077 Brain Clustering Article DOI : 10 . 5120 / ijca2016912283 CITATION 1 READS 573 3 : Some : Speech , Prediction , Hybrid Optimization , Muscle Master Enver Duzce 6 SEE Pakize Duzce 29 SEE Kemal Abant 117 , 799 SEE All . The . 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 .