About evaluations in this task
In this task, the developed methods will be evaluated on the testing set by the organizers locally by running them within a docker provided by the challengers.
You must provide a built image containing your method. Please refer to the Docker documentation to build your image.
During the evaluation, your docker will be executed by the organizers on the test dataset, and the output scores will be processed similarly as in task 2 to compute the C-index, using the following command line:
docker run -v /datalocation:/data -v /outputlocation:/output mydockerimage /bin/bash -c "sh predict.sh /data/[PatientID]PET.nii.gz /data/[PatientID]CT.nii.gz /data/[PatientID]SegMask.nii.gz /output/output_score.csv”
Update: An example with Dockerfile and few sample scripts are provided here.
How to submit the submissions
1. Save your docker image:
docker save --output submission-v1.tar your_image_name
2. Upload the docker image as submission:
aicrowd submission create -c miccai-2021-hecktor -f submission-v1.tar
aicrowd-cli is not installed you can do so via
pip install aicrowd-cli