Deep Neural Networks to Detect Brain Tumours

Abstract

Human tumor identification has emerged as one of the most challenging problems in medical science in recent decades. It is imperative that the tumors be found early in order to treat the patients. The initial tumor detection increases the patient's chance of survival. The physicians normally divide up the cycle of brain tumor analysis by hand. In light of this, one of the most important issues with software engineering frameworks is diagnostics using image cycles and artificial intelligence. In this research, we propose an artificial intelligence approach to detect whether or not a brain tumor is present in a partner degree imaging picture.