BRAIN TUMOR DETECTION USING IMAGE PROCESSING AND COMPUTER VISION

Abstract

Most cells in the human body will grow and then divide in an orderly manner to form new cells to keep the body healthy and maintain its optimal state. However, when the cell loses its ability to control growth, divisions become too frequent and in no order. The extra cells form a mass called a tumor. Brain tumors are abnormal and uncontrolled cell proliferation. The project proposes a method for detecting brain tumors using convolutional neural networks. Pre-process the image to and artifacts, classify it, and then segment it to find regions of interest where tumors may exist. The experimental results show that the images convolutional neural network have high accuracy and greatly reduce the calculation time. The project shows that the proposed solution can be used to detect brain tumors in patients with a high success rate.