Brain Tumor Detection Using SVM Classifier
Keywords:
Brain Tumor, MRI, Support Vector Machine (SVM), Machine Learning, ClassificationAbstract
Brain tumor detection is a crucial task in medical imaging, aimed at improving diagnosis and treatment planning. Support
Vector Machine (SVM) classifiers have demonstrated high accuracy in detecting brain tumors from MRI scans due to their ability to handle high-dimensional data effectively. This study explores the application of SVM classifiers for brain tumor detection, focusing on feature extraction, classification techniques, and performance evaluation.
References
"Brain Tumor Detection Using SVM: A Machine Learning Approach." Journal of Medical Imaging, 2020. [2] "MRI-Based Tumor Classification Using Support Vector Machines." Biomedical Signal Processing, 2021.
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Published
2024-09-10
How to Cite
S. Jagadeesh, K Spoorthi, CH Jaswitha, V Anusha. (2024). Brain Tumor Detection Using SVM Classifier. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1178–1183. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1873
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