Prizes

  • 1st: 1,000 USD
  • 2nd: 500 USD  

After completing the assessment, the top ten participants will be informed by email, and the final rank will be notified at the challenge workshop with the award. PAIP 2023 challenge organizers will award 1,000 USD to the first-place winner and 500 USD to the second-place winner (one team per rank). The prize money will be sent through bank transfer, and the winners can receive the remittance to their own accounts under their name only.

 Participation rules & policies

(1) Every challenge participant should agree to use the provided data only in the scope of the DATA USE AND CONFIDENTIALITY AGREEMENT(DUA) for access to data.
(2) Every participant agrees not to make more than one account for downloading the data and submitting the results.
(3) External data are not allowed for training the network. However, a pre-trained model with the ImageNet ILSVRC 2012 dataset can be used. No other pre-trained model with different datasets is allowed. No user-generated labels are allowed either.
(5) Computer “hacking” is unlawful. If any participant attempts to compromise the integrity or the legitimate operation of the challenge by hacking or by cheating or committing fraud in any way, the committee may claim damages to the fullest extent permitted by law.
(6) By submitting the results to this challenge, participants understand and agree to include those results for the method comparison. This comparison will be used to prepare a joint publication in which the writing process will be led by the challenge organizer(s).
(7) Members of the organizers’ research groups may participate in the challenge but are not eligible for awards and are not listed on the leaderboard.
(8) Every participant should get ID verification for their Grand Challenge account. Unverified users will not be available to submit algorithms to the Grand Challenge policy.

  License

The PAIP 2023 datasets are available under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

 Acknowledgment

Please acknowledge PAIP 2023 in your publications as follows:
"De-identified pathology images and annotations used in this research were prepared and provided by the Seoul National University Hospital by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI18C0316).”