Detection of brain tumor using machine learning approach

Abstract

Tumor in brain is one of the most dangerous diseases which if not detected at the early stages can even risk the life. Currently, the methods used by neurologists for analysis are not completely error free and states that manual segmentation isn’t a good idea. This study presents machine learning based approach for segmentation of brain images and identification of tumor using SVM classification approach which improve the performance, minimize the complexity and works on real time data.