Brain Tumor Segmentation Using U-Net

Developed a deep learning system for MRI brain tumor segmentation using a U-Net CNN architecture

Applied image preprocessing and enhancement to improve segmentation performance

Trained and optimized the model using TensorFlow and Keras

Evaluated performance using Accuracy and Intersection over Union (IoU)