Brain Tumor Detection & Classification into Different Categories using Deep Learning Model

This study’s objective is to create a Convolutional Neural Network (CNN) based system for identifying and categorizing brain cancers from MRI scans. The proposed method’s accuracy was assessed and contrasted with other classification techniques. The difficulty of identifying and classifying tumors is a result of the perplexing nature of images produced by imaging methods like MRI. In this study, a deep learning model for classifying various tumor types into 4 categories/types - glioma, meningioma, pituitary and no-tumor is proposed. To determine the most effective course of treatment, a special model with hyperparameter adjustment was built. The suggested method’s effectiveness in accurately classifying the tumors visible in the MRI pictures was demonstrated after it was applied to a sizable dataset of MRI images with an accuracy of 95.94%.