Brain Tumor Segmentation Using U Net

Developed a deep learning-based medical image segmentation project using the U-Net architecture to identify and delineate brain tumor regions in MRI scans. The project applies computer vision and semantic segmentation techniques to generate pixel-level tumor masks, exploring how deep learning can support medical image analysis and assist specialists in visualizing tumor boundaries.