This repository contains my uni work and experiments in data-driven image processing using deep learning in the medical space. It includes projects focused on medical image registration, segmentation, and restoration.
Registration/– Image registration using models like VoxelMorphSegmentation/– Deep learning-based medical image segmentation (e.g. U-Net)Restoration/– Image restoration and enhancement tasks
- Learn and apply data-driven approaches to medical imaging
- Implement and evaluate models such as U-Net and VoxelMorph
- Explore segmentation masks, image alignment, and reconstruction
⚠️ Large dataset files (.npy,.pth) are excluded from the repository due to GitHub size limits.
This repository reflects my learning process in applying machine learning to biomedical images. Some components are prototypical or academic in nature.
Feel free to explore and reach out with suggestions or questions!