Brain Tumor Detection Using Deep Learning

Human beings have a lot of fatal diseases, but Brain tumor is one of the deadliest among them. Many brain tumor patients die without proper diagnosis. Brain tumor can be found in many types, but to be very specific, there can be found two main types such as benign and malignant. Malignant tumors are cancerous and cause many deaths. If a brain tumor is detected correctly at an early stage, treatments for the tumor will be more effective. A brain tumor is mainly detected by two dimensional magnetic resonance brain images (MRI). Human assisted image detection techniques can give inaccurate results, so we are proposing a model that includes deep learning that detects tumors efficiently. The model successfully gained a near perfect high accuracy in distinguishing between images with and without brain tumors. This approach involves preprocessing MRI images, constructing a Convolutional Neural Network (CNN) model and evaluating its performance using various metrics.