AI RESEARCH
Optimized Weighted Voting System for Brain Tumor Classification Using MRI Images
arXiv CS.LG
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ArXi:2603.28357v1 Announce Type: cross The accurate classification of brain tumors from MRI scans is essential for effective diagnosis and treatment planning. This paper presents a weighted ensemble learning approach that combines deep learning and traditional machine learning models to improve classification performance. The proposed system integrates multiple classifiers, including ResNet101, DenseNet121, Xception, CNN-MRI, and ResNet50 with edge-enhanced images, SVM, and KNN with HOG features.