Detecting Brain Tumors in MRI’s using a Convolutional Neural Network with Transfer Learning

THIS PAPER describes a method for finding brain cancers in MRI scans by utilising a convolutional neutral network with transfer learning. Brain tumour detection is the process of locating anomalies in brain structure that suggest the existence of a tumour. The CNN model is trained to divide the input MRI data into two categories: tumor-affected and normal. Many measures, including accuracy, sensitivity, specificity, were used to assess performance of the method by VGG16. This method could make it easier for doctors to quickly and reliably diagnose brain tumours in patients.