BRAIN TUMOR DETECTION USING DEEP LEARNING

The population of abnormal cells called glial cells that takes place in the brain causes brain cancer. Over the years the number of patients who have brain cancer is increasing with respect to the aging population, is a worldwide health problem.The main purpose of our project is to develop a method to detect the brain tissues which are affected by cancer especially for grade-4 tumo, Glioblastoma Multiforme(GBM).GBM is one of the most malignant cancerous brain tumors as they are fast growing and more likely to spread to other parts of the brain. Brain Cancer identification is really challenging task in early stages of life. Now-a-days, issue of brain cancer identification is of great interest. In order to detect the brain cancer of a patient, we consider the data of patients like MRI images of a Patient’s Brain. Here our problem is to identify whether the cancer is present in Patient’s or not. It is very important to detect the cancer at starting level for healthy life of a patient. This allows us to various image processing techniques to arrive at the best result that can help us to detect brain cancers in their early stages.