Bridging modalities: a deep learning framework for brain tumor classification via CT-MRI integration and model fusion
Fares Hamad Aljahani
Artificial intelligence (AI) and machine learning (ML) have shown remarkable promise in advancing medical image analysis, yet their potential in neurology and psychiatry remains underexplored. This work explores the use of deep learning approaches for automated brain tumor classification, leveraging multimodal neuroimaging data comprising computed tomography (CT) and magnetic resonance imaging (MRI) scans. Two model families were evaluated: a custom CNN trained from scratch and a transfer-learni