This is a docker container for Landmark-free Morphometry code from A landmark-free morphometrics pipeline for high-resolution phenotyping: application to a mouse model of Down syndrome paper.
Included in the container:
- Ubuntu 18.04
- Miniconda
- FSL 5.0.11
- SimpleITK
- vtk
- jupyterlab
- all packages in this yaml
Install Docker. Pull and run the pre-built image. This will launch a jupyter lab instance.
docker run -p 8888:8888 asyafiqe/landmark-free-morphometry
Verify the deployment by navigating to your server address in your preferred browser.
127.0.0.1:8888
to attach a folder in the container, run:
docker run -v /path/to/my-data:/app/landmark-free-morphometry -p 8888:8888 asyafiqe/landmark-free-morphometry
or build yourself
git clone
cd
docker build -t <youruser>/landmark-free-morphometry .