Machine Learning Approach improves the Quality of the MRI Images in Tumor Detection and Diagnosis: A PSO based Cluster Analysis

Abstract

Segmentation is the most important and basic technique of image processing which is used for the extraction of suspicious region from the given image. Brain tumor is diagnosed at advanced stages with help of the MRI images. This research aims to quantify the brain tumor loss in MRI human Head Scans by using a computational method. This method proposes Particle Swarm Optimization (PSO) for finding the centroid value to segment the brain tissue. The segmented brain MRI helps the radiologist in detecting brain abnormalities and tumor.