Brain Tumor Segmentation using U-Net

This project implements a deep learning model using the U-Net architecture to automatically segment brain tumors from MRI scans. Accurate segmentation is crucial for medical diagnosis, treatment planning, and monitoring of tumor progression.

The model is built using TensorFlow/Keras and is trained to generate binary masks that highlight tumor regions in MRI images.

GitHub Link: https://github.com/amr10w...