Deep Learning-Based Classification of Brain Tumors Using MR Images

Abstract

In the past several years, academics have focused a lot of attention on Deep Learning (DL), the
latest model and most popular trend in the machine learning area. DL has been widely utilized in
multiple applications as a strong machine-learning method for handling different complicated
issues that call for exceptionally high accuracy and precision, notably in the medical sector.
Brain tumors are among the most common and serious malignant tumor illnesses overall, and if
they are explored at a more advanced stage, the patients may have a very short life. Thus, grading
a brain tumor is an extremely important step to take after finding the tumor for the purpose of
developing a successful treatment strategy. In this study, we proposed the Convolutional Neural
Network (CNN) model, which is among the most popular structures for deep learning, for
classifying the data from an MRI scan that displays brain tumors.