Brain Tumor Detection Using CNN

Abstract

Abstract: Brain tumors being one of the most fatal illnesses for people across all ages, they make up to 90% of tumors that principally affect the central nervous system. To ensure recovery and highest possible life expectancy for the patient doctors must ensure precise diagnosis and properly plan out treatment courses. Manual screening of tumors of the brain is highly complex. Having a tendency to being misdiagnosed owing to Byzantine structure of the brain and varying characteristics of tumors depending on their location and other factors. With the rise of computer sciences, there are automatic detection and classification solutions available that can outperform manual diagnosis and classification in terms of accuracy using machine learning techniques, Medical Professionals around the globe could use such systems. Comprehensive experiments were conducted by us on the selected datasets and it’s shown that the proposed model is in a position to realize competitive results.