MONKEY challenge: Detection of inflammation in kidney biopsies Banner
Join

Rules šŸ“œ

Participation:

    • All participants must form teams (even if the team is composed of a single participant), and each participant can only be a member of one team.

      • Any individual participating with multiple or duplicate Grand Challenge profiles will be disqualified.

        • Anonymous participation is not allowed. To qualify for ranking on the validation/testing leaderboards, true names and affiliations [university, institute (if any) or company (if any), country] must be displayed accurately onĀ verifiedĀ Grand Challenge profiles for all participants.

        • Members of sponsoring or organizing centers may participate in the challenge.

            • This challenge only supports submitting fully automated methods in Docker containers. Semi-automated or interactive methods are not possible.

            • All Docker containers submitted to the challenge will be run in an offline setting (i.e. they will not have access to the internet, and cannot download/upload any resources). All necessary resources (e.g. pre-trained weights) must be encapsulated in the submitted containers beforehand.

            • Participants and their AI algorithms must adhere to the compute limits. The participants are responsible for ensuring their algorithm runtime fits within the compute limits.
            • The organizers of the MONKEY challenge reserve the right to disqualify any participant or participating team at any time for unfair or dishonest practices.
            • All participants reserve the right to withdraw from the challenge and forego further participation. However, they will not be able to retract their prior submissions or published results until then.

            • The competition is open to participants worldwide, except if you reside in North Korea, Crimea, or any other place covered by Financial measures, Restrictions on goods, or EU sanctions. The aforementioned regulation is in place because of a requirement to conform to EU regulations concerning the provision of resources and transfer of finances (challenge award money, etc.).


            Training data, models, and code:

            • External data and pre-trained models are allowed in this competition as long as they are freely and publicly availableĀ under a permissive open-source license. Participants must clearly state the use of external data in their submission, using the algorithm name. The use must be clearly stated in the submission, using the algorithm name [e.g., "Kidney AI Model (trained w/ private data)"], algorithm page, and/or a supporting publication/URL.


            Publication:

            • Up to three members of each leaderboard's top three performing teams will be invited to participate in the challenge paper as consortium authors. Participants of the MONKEY challenge and non-participating researchers using the dataset can publish their results at any time, separately. Challenge participants are encouraged to submit their solution as a short paper at MIDL 2025.
            • Once the challenge has officially concluded, the top 3 winning algorithms will be made publicly available as Grand Challenge Algorithms.