Brain Tumor Classification Using CNN

Abstract

Classification of brain tumors is commonly accomplished using a variety of imaging 
modalities. MRI, on the other hand, is frequently employed due to its greater image quality and 
lower radiation exposure. Deep learning (DL), a branch of machine learning, has recently shown 
greater results, particularly in classification and segmentation. There is a primary goal of obtaining 
and classifying the brain tumor. It is possible to do this by using Alexnet's Convolution and FullyConnected layers. These Layers extract aspects of the tumor and identify the grade, and they locate 
the tumor in the brain with high accuracy