INTELLIGENT BRAIN TUMOR CLASSIFICATION

ABSTRACT

Access to expert radiologists is severely limited in regions such as Africa, resulting in delayed diagnoses and potentially compromised patient outcomes. To address these pressing issues, we present NeuroScanAI, an innovative AI-powered solution engineered for early brain tumor detection and continuous monitoring. Harnessing cutting-edge convolutional neural networks (CNNs), NeuroScanAI delivers rapid and precise evaluations of MRI scans, significantly reducing diagnosis time. Crucially, NeuroScanAI serves as a complementary tool to medical professionals, enhancing their diagnostic capabilities. One pivotal advancement of NeuroScanAI lies in its utilization of data augmentation techniques, substantially enhancing the model's ability to generalize across diverse datasets. Additionally, the implementation of transfer learning further elevates model accuracy. Notably, NeuroScanAI has achieved remarkable results, boasting a 97% accuracy rate, a precision score of 97%, an impressive 98% recall rate, and a robust F1-score of 96%. Its accessibility and capacity to provide swift, accurate results make it a game-changer in the realm of brain tumor diagnosis, particularly in underserved regions like Africa where it has the potential to save lives and improve patient care.