An advanced magnetic resonance imaging technique for the detection of abnormal changes using artificial neural network

Abstract

Image Segmentation is a complicated and challenging task in detecting tumors in human brain. In diagnostic Systems, this image segmentation plays a major role for detecting brain tumors. For detecting the abnormal changes in the brain, a technique called magnetic resonance imaging (MRI) is used. MRI is based on the abundance of hydrogen nucleus in human body and there magnetic resonance activities. The proposed system consists of four stages: collecting the data by various repository systems or hospitals, preprocessing of brain images, extracting the features from the images by using k-means algorithm, and classifying the brain images with the help of neural system. In our paper, we have proposed an advanced neural network using fuzzy k-means algorithm.