Brain Tumor Segmentation & Detection using MRI

Abstract

Tissues in human brain become dead to allow new tissues to born at their expiry time but sometime they do not die. The undead tissues cause to form a solid mass in human brain which is known as Brain tumor. Manually the brain tumor detection is considered to be a challenging and time consuming task by analyzing the MRI images. The main objective of this research is to detect and analyze the tumorous part of human brain by using image processing and machine learning approaches. The main objective is further divided into number of tasks: (1) an automated system will be developed to detect the tumorous part in the MRI images of the human brain, (2) the location of the tumor will be identified by highlighting the affected area, and (3) will try to implement practically in the real clinical environment. In this study we will work on a standard BRATS dataset which contains the MRI images with different modalities.