Brain Tumour Classification and Identification Using Deep Learning Neural Networks

Abstract

Abstract: Convolutional Neural Network (CNN)-based brain tumour detection is used to identify and categorise different types of tumours. Many scholars have studied and designed paths across this area over the course of many years. We've suggested a method that can identify and categorise various tumour forms. Since MRI scans the human brain without requiring any operations, they provide a comprehensive picture of the human brain's anatomy, which aids in the processing of the image for tumour identification. Misclassification results from human beings predicting tumours from MRI pictures. This inspires us to create the algorithm for brain tumour identification. For the purpose of identifying tumours, machine learning is helpful and important. Convolutional neural networks (CNNs), one of the machine learning algorithms, was used in this article because of their strength in image processing. Using CNNs and MRI data, we created a web application for the identification of brain tumours and the classification of their various forms, this web application contains about disease, treatments and famous doctors for treat this disease.