Comparative Analysis of Brain Tumor Detection and Classification using Machine Learning Algorithms

This BSc thesis presents a comparative analysis of various Machine Learning algorithms for brain tumor detection and classification using MRI dataset. The study implements and evaluates multiple ML models to determine their accuracy, efficiency, and suitability for clinical applications. The research aims to identify the most effective approach for automated brain tumor diagnosis, providing insights for further development in medical imaging and intelligent healthcare systems.