Deep Learning with a Convolutional Neural Network for Brain Tumor Classification

Abstract

It is not common practice to conduct a biopsy before a patient has final brain surgery; instead, biopsies are used to categorize tumors. Adding machine learning to this method might help radiologists find cancers with less surgery. In machine learning, the convolutional neural network (CNN) is effective in visual segmentation and classification. To solve pattern and image recognition challenges, convolutional neural networks (CNNs) are often used. The vast geographical and structural variability of the brain tumor's surrounding region makes automatic brain tumor categorization a formidable obstacle. This may be easily accomplished via a Convolutional Neural Network (CNN). In this study, we look at how different CNN-based approaches classify tumors.