Brain Tumor Detection and Classification Using Deep Feature Fusion and Stacking Concepts
Brain Tumor Detection and Classification Using Deep Feature Fusion and Stacking Concepts is a scholarly work, published in 2024. The main subjects of the publication include brain tumor, deep learning, artificial intelligence, feature extraction, stacking, image segmentation, leverage, artificial neural network, feature, central nervous system disease, machine learning, pattern recognition, and computer science. The authors evaluate the method on two publicly available datasets of brain MRI scans and show it can detect lesions with superior accuracy compared to other methods.