Example docker container for the crossMoDA Challenge organized as part of MICCAI 2021. The script simply thresholds hrT2 images to "predict" the VS and cochlea.
Dockerfile
contains all the information used to create the Docker container.
Speficically, it uses the continuumio/miniconda
image and installs additionnal Python libraries. Then, it automatically executes a dummy algorithm src/run_inference.py
on all the scans located in /input/
and write the results in /output/
.
To build the docker image:
docker build -f Dockerfile -t [your image]
Containers submitted to the challenge will be run with the following commands:
docker run --rm -v [input directory]:/input/:ro -v [output directory]:/output -it [your image]
This repository is based on the intructions provided for the MICCAI WMH segmentation challenge 2017.