ConfLUNet is a deep learning model that performs instance segmentation of multiple sclerosis lesions in FLAIR MRI images. The model is based on the nnUNet framework. The model is trained on a proprietary dataset.
- Installation instruction or follow the docker instructions below to avoid installing the dependencies yourself.
- Docker instructions
- Dataset format (following nnUNet)
- Usage instructions
Feel free to open an issue or pull request if you have any suggestions, questions, or improvements.
This project is licensed under the MIT LICENSE - see the LICENSE file for details.
