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K Means Clustering Algorithm for Brain Tumor Segmentation

. A. Mary Ezhilvani and Dr. A. Geetha


Abstract

Brain tumor is an abnormal and uncontrollable growth of cells inside the brain. The identification of a tumor in the brain is a challenge due to the complications in the structure of the brain. We can identify brain tumors with the help of these MR Images collected as Big Data.  From these MR Images, we are able to determine the detailed anatomical information to examine the development of the human brain and to diagnose the various diseases. The detection of brain tumor becomes most complicated for the huge image database.  So an algorithm approach is required to help the accurate and faster clinical diagnosis. This paper is mainly focuses on a brain segmentation of MR Images by K - Means Clustering Algorithm to diagnose accurately the region of Brain Tumor. After the segmentation, which is through K-Means Clustering Algorithm the brain tumor is detected.

 

Index Terms= Brain Tumor, Magnetic Resonance Imaging (MRI), K-Means Clustering Algorithm, Segmentation and Detection.

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