BRAIN TUMOR DETECTION USING MACHINE LEARNING

Abstract

Brain tumor detection via machine learning, specifically with MRI scans, is a significant advancement in medical imaging. The method aims to enhance diagnostic accuracy for brain neoplasms, aiding in early detection and precise classification. It involves preprocessing MRI data and employing convolutional neural networks (CNNs) to extract complex features. Training, validation, and testing utilize a large annotated dataset encompassing various tumor types and stages. Key steps include data collection, preprocessing, and feature extraction. Key Words: Brain tumor detection, Machine learning, MRI scans, Convolutional Neural Networks, Preprocessing, Annotated dataset.