Artificial neural networks
Advances in Brain Cancer Diagnosis through Deep Learning and Simulated Annealing
Researchers at Ibn Tofail University in Morocco have made significant progress in developing a more accurate and efficient method for classifying brain tumors using Magnetic Resonance Imaging (MRI) scans. By employing a Convolutional Neural Network (CNN) architecture optimized with Simulated Annealing (SA), the team achieved a validation accuracy of 98.