Data Splits 🗃️
Data is sampled into three splits, with the following use-cases:
- Public Training and Development Dataset (2238 cases):
Available for all participants and researchers, to train and develop AI models. All data is fully anonymized and made available under a non-commercial CC BY-NC 4.0 license. Includes 194 cases from the Medical Segmentation Decathlon dataset and 80 cases from National Institutes of Health . For all updates/fixes regarding this dataset, please join the challenge and check out our dedicated forum post on this topic.
Annotations will be released and are maintained via: github.com/DIAGNijmegen/panorama_labels
Imaging data will be released via:- Batch 1 out of 4: https://zenodo.org/records/11034178
- Batch 2 out of 4: https://zenodo.org/records/10998885
- Batch 3 out of 4: https://zenodo.org/records/11034011
- Batch 4 out of 4: https://zenodo.org/records/10999754
Available for all participants and researchers, to train and develop AI models. All data is fully anonymized and made available under a non-commercial CC BY-NC 4.0 license. Includes 194 cases from the Medical Segmentation Decathlon dataset and 80 cases from National Institutes of Health . For all updates/fixes regarding this dataset, please join the challenge and check out our dedicated forum post on this topic.
Annotations will be released and are maintained via: github.com/DIAGNijmegen/panorama_labels
Imaging data will be released via:
- Batch 1 out of 4: https://zenodo.org/records/11034178
- Batch 2 out of 4: https://zenodo.org/records/10998885
- Batch 3 out of 4: https://zenodo.org/records/11034011
- Batch 4 out of 4: https://zenodo.org/records/10999754
- Hidden Validation and Tuning Cohort (100 cases):
Used for a live, public leaderboard that enables model selection and tuning, during the Development Phase.
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.
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.