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
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DOI:
10.17148/IJARCCE.2025.141035
[1] Rushikesh Todekar, Shejal Kawale, Sakshi Khankar, Mayuri Sudake, Dr. Sachin Bere, Prof. Mrs. Jagtap P.S, "BRAIN TUMOR DETECTION USING MACHINE LEARNING," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141035
