Rules

1. All participants should register this challenge with their real names, affiliations (including department, full name of university/institute/company, country), and affiliation E-mails. Incomplete and redundant registrations will be removed without notice.

2. All participants must submit a complete solution to this challenge during the validation and testing phase. A complete solution includes a Docker container (tar file) and a qualified methodology paper (8-12 pages, LNCS format). 

3. All participants should agree that the submitted short papers can be publicly available to the community on the challenge website, and organizers can use the information provided by the participants, including scores, predicted labels, and papers.

4. Participants are not allowed to register multiple teams and accounts (only listed names in the signed document will be considered). Participants from the same research group are also not allowed to register multiple teams. FLARE22 Organizers keep the right to disqualify such participants. All participants must submit in a form of teams, including the teams with a single user. Personal submission is not allowed.

5. Redistribution or transfer of data or data link is not allowed. Participants should use the data only by themselves. The challenge data will be free to use after the submission of a challenge summary paper (Jan 31th, 2023).

6. Participants should develop fully automatic methods based on the training set (50 labelled cases and 2000 unlabelled cases) only and any manual interventions (e.g., manually annotate the unlabelled cases) are not allowed. For a fair comparison, participants are not allowed to use any additional data and pre-trained models.

7. The Docker should execute for at most  3  hours and occupy no more than 28GB RAM to generate segmentation results of the validation set (50 cases). Otherwise, an error will be returned.