BRAIN TUMOR DETECTION USING MACHINE LEARNING

Abstract: Brain tumor detection is a critical task in medical imaging that requires timely and accurate diagnosis for effective treatment. Manual interpretation of MRI scans is time-consuming and prone to human error. Machine Learning (ML) and Deep Learning (DL) techniques have demonstrated re- markable performance in automating tumor detection, segmentation, and classification. This review paper provides a comprehensive overview of various ML methods applied to brain tumor detection, discusses datasets, algorithms, evaluation metrics, and highlights recent trends and future research directions. The paper aims to provide a clear understanding of the current state-of-the-art approaches and the challenges that remain in this domain.

Keywords: Brain Tumor, Machine Learning, Deep Learning, MRI, Image Processing