Abstract
Brain cancer ranks as one of the global causes of death, and its early detection is challenging due to the diversity of sizes and shapes present in Magnetic Resonance Imaging (MRI). Moreover, identifying the specific type of tumor is a complex process that demands expertise. The use of artificial intelligence and machine learning in computer-aided diagnosis systems becomes essential to en…