Brain Tumor Detection Using Deep Learning

Abstract

A prevalent form of cancer that can be hazardous to many people is tumors. Tumors, especially brain tumors, must be identified quickly and accurately by medical professionals in order to successfully treat patients. They can examine images of the brain and look for tumors using image processing tools. Uncontrolled cell growth that squanders resources intended for healthy cells leads to brain failure and causes brain tumors. Currently, clinicians must examine images of the brain and identify the tumors on their own, which can be time-consuming and inaccurate. However, brain tumors can be automatically detected using a particular kind of computer program known as a Convolution Neural Network (CNN) or VGG 16. The software will inform the doctor whether a tumor is present or not, allowing them to choose the most appropriate course of action [1].