All challenge submissions should be made by Docker container and will be run on the Grand Challenge hosting platform. With each

There is a 30 minute wall time limit per case which includes the time to contour one patient's PSMA and FDG PET/CT scans as well as any pre/post-processing operations. Essentially, the image, organ segmentation, and rigid co-registration parameters shown in the Dataset Format page will be visible to the algorithm with the expectation to generate the Total Tumour Burden (TTB) segmentation for FDG and PET modalities. Deployment will be able to utilise Nvidia T4 GPUs (ml.g4dn instances) as shown in the runtime environment documentation.

If you have previously participated in a recent Grand Challenge, the format for submission should be very similar to previous competitions. General documentation is provided here however it may be easiest to adapt the baseline algorithm from our Github page. You will need a docker installation on your PC and if using windows it may be necessary to install WSL (windows subsystem linux) with Docker to ensure that the container is compatible with the deployment environment.

Example Docker Container - Github

For simplicity, the example algorithm and docker workflows are shown based on creating a single tar.gz image encompassing the user's runtime code and model weights however there are more advanced functionalities on the Grand Challenge platform that allow updating just portions of the model files and weights to more easily update algorithms and save re-uploading an entire image (often 10+ GB).