Optimized Lightweight Convolutional Neural Network Architecture for Multi-Class Brain Tumor Classification from Magnetic Resonance Imaging
Brain tumor classification from Magnetic Resonance Imaging (MRI) is a vital clinical task in modern neuroradiology that requires high diagnostic accuracy to enable appropriate treatment and prognosis. We propose an optimized deep learning architecture with three architectural novelties—the Micro Adaptive Feature Extrac...