Interaction among Brain Regions Using Feature Selection for Interaction-Based Clustering
Abstract
Functional Magnetic Resonance Imaging (fMRI) is a technique for measuring brain activity that directly measures the blood flow in the brain. This is an important concept in medical field to detect the tumors. Tumors is an abnormal tissue which is grouped together to form into lumps. Tumor cells are grouped according to their growth of cells which has been graded by World Health Organisation. To detect the tumor we take an fMRI using various techniques. K means algorithm is introduced in this field to cluster together the different regions of the brain according to the interaction between various regions. These results are compared to original image to get the exact location of the brain tumor rather than the region surrounding the tumor cells.
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