Brain MRI image segmentation using fuzzy C-means clustering

Document Type

Article

Publication Date

2010

Abstract

In this work, Fuzzy c-means (FCM) clustering is used to cluster brain MRI images into regions. The MRI images are from patients who have brain tumor. Experiments show that the FCM-based algorithm of brain-MRI image segmentation yields very good results. Segmented image can help physicians to identify tumor tissue in brain, and monitor effectiveness of chemotherapy treatment.

Publication Title

Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010

Volume

1

First Page

466

Last Page

469

Comments

This article was published in Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010, Pages 466-469.

More information is available at http://dblp.uni-trier.de/db/conf/ipcv/ipcv2010.html.

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