The early and accurate detection of brain tumors is crucial for improving patient outcomes and guiding effective treatment strategies. Recent advancements in deep learning have significantly enhanced the ability to detect and classify brain tumors from medical imaging, particularly Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. Traditional methods of tumor detection are time-consuming and heavily reliant on human interpretation, which can lead to inconsistencies.