A New Hybrid Method for Brain Tumor Detection Based on Deep Learning (opens in new tab)

Brain tumor detection using Magnetic Resonance Imaging (MRI) remains a challenging task due to tumor hetero-geneity and imaging variability. This paper presents a novel hybrid Deep Convolutional Neural Network Whale Optimization Algorithm (DCNN,WOA) framework for automated brain tumor detection and classification. The proposed method consists of four main stages: MRI data preprocessing and augmentation, deep feature extraction using multi-layer Convolutional Neural Networks (CNN), feature sel...