Brain Tumor Segmentation using SwinUNETR Model

Brain Tumor Segmentation using SwinUNETR Model

In this project, I performed brain tumor segmentation using the BraTS 2020 dataset. The workflow included:

Comprehensive data preprocessing of 3D MRI scans.

Implementation and training of the SwinUNETR model using MONAI and PyTorch frameworks.

Successful segmentation of tumor sub-regions: Enhancing Tumor (ET), Tumor Core (TC), and Whole Tumor (WT).

Generated 3D visualizations of both the original volumes and segmented regions to better interpret model predictions.

This project demonstrates my ability to work with 3D medical imaging, advanced transformer-based architectures, and visualization techniques essential for medical AI applications.