Advancing Accuracy with Ai-Driven Approaches for Automated Detection and Segmentation of Brain Tumours

The presence of brain tumours is a significant medical issue that calls for precise detection and diagnosis, particularly in the field of magnetic resonance imaging (MRI). The existing methods, which are relying on traditional image processing and conventional machine learning, face difficulties in accurately identifying the sites of tumours within complicated MRI scans. These images are frequently impacted by noise and have uneven picture quality