Medical Image Segmentation

Implemented a U-Net++ architecture with EfficientNet-B4 encoder for brain tumor segmentation on the BraTS 2023 benchmark. Used deep supervision and Dice + BCE combined loss to handle severe class imbalance. Achieved a mean Dice score of 0.87 on the validation set. Visualizations built with Gradio for radiologist review.