An Efficient Gmp Classifier-Based Framework For Brain Tumour Detection and Classification Using Mri Image Techniques

Authors: Daniel Raj K, Anish K, InfantKavin F, Manickam I

Abstract: Brain tumors are one of the most life-threatening neurological disorders, and early classification using MRI is crucial. This paper proposes a deep learning-based diagnostic framework utilizing a Global Max Pooling (GMP) classifier for brain tumor detection and classification. The model identifies glioma, meningioma, and pituitary tumors and further categorizes them into severity grades. Extensive experiments demonstrate the proposed model's superiority in accuracy, robustness, and inference time. The system is implemented as a web application with real-time MRI analysis and clinical decision support.