Data Splits 🗃️


Data is sampled into three splits, with the following use-cases:
  • Hidden Validation and Tuning Cohort (100 cases):
    Used for a live, public leaderboard that enables model selection and tuning, during the Development Phase.

  • Hidden Testing Cohort (>400 cases):
    Used to determine the top 5 AI algorithms at the end of the Development Phase. Used to benchmark AI, radiologists, and test all hypotheses at the end of the Testing Phase. Includes internal testing data (unseen cases from seen centers) and external testing data (unseen cases from an unseen center). A subset of 400 cases from this cohort is used to facilitate the PANORAMA: Reader Study.