Identification of Brain Tumor from MRI using Fuzzy C Mean Segmentation Process

Abstract

MRI is an essential technique, in detecting the brain tumor. The tumor is an unfavorable
intensification of harmful tissues which increase intracranial pressure Magnetic Resonance Imaging is a
medical proficiency, mainly used by the radiologists for identification of an interior structure of the human
body without any surgery. The technique proposed in this term paper is fuzzy c-means (FCM) and is compared
with K-Means segmentation. Followed by tumor detection which will exhibit the existence of a tumor as
Abnormal brain whereas the absence of tumor as a normal brain. In the dissimilar clusters obtained, it shows
different elements of the brain such as white matter, gray matter, edema and tumor. The results were studied
for different clusters.