/docker_submission

Example docker container for the crossMoDA challenge

Primary LanguagePythonMIT LicenseMIT

LNQ Challenge - MICCAI 2023

Example docker container for the LNQ Challenge organized as part of MICCAI 2023.

Build the Docker image

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]

Docker commands

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]

Credits

This repository is based on the intructions provided for the MICCAI WMH segmentation challenge 2017.