This project aims to automatically segment brain tumors from MRI scans using a deep neural network. It leverages MRI data, preprocessing steps (e.g. normalization, skull stripping), and a convolutional segmentation model to produce pixel-level tumor masks from input volumes.

👉 Full code and detailed documentation:
Brain Tumor Segmentation on GitHub