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Used docker containers and corresponding results for the IVDM3Seg challenge

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ivdm3seg

Results of our method on the non-disclosed IVDM3Seg challenge data as generated by the challenge organizers using our prepared Docker containers as described in the paper.

Docker containers and results

How to run a Docker container

  1. Download the container un-7zip it, such that you are left with an IMG.tar file
  2. Load the image into Docker, i.e., docker load --input IMG.tar
  3. Finnally, you can use the instructions as specified by the challenge to obtain segmentation results for an image:
    CID=`docker run -dit --runtime=nvidia --rm -v /input -v /output CONTAINER_NAME`
    
    docker cp TESTIMAGE_fat.nii.gz $CID:/input/fat.nii.gz
    docker cp TESTIMAGE_wat.nii.gz $CID:/input/wat.nii.gz
    docker cp TESTIMAGE_inn.nii.gz $CID:/input/inn.nii.gz
    docker cp TESTIMAGE_opp.nii.gz $CID:/input/opp.nii.gz
    
    docker exec $CID /challenge/run
    
    docker cp $CID:/output/result.nii.gz TESTIMAGE_segmentation.nii.gz
    
    docker stop $CID

Note: You need the NVIDIA runtime to run the Docker container.

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Used docker containers and corresponding results for the IVDM3Seg challenge

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