📢 The LEOPARD challenge has completed. Participants of the LEOPARD challenge, as well as all non-participating researchers using the LEOPARD public training dataset, must adhere to the publication embargo period and can publish their own results, separately only after the completion of the embargo period (after the publication of the LEOPARD challenge journal paper and the publicatication of the LEOPARD challenge baseline journal paper). While doing so, they are requested to cite the challenge publication.
FAQ & Tips 📌¶
Last updated on 05/07/2025, 13:50 CET
1. Public datasets of prostatectomies and corresponding biochemical recurrence:
2. Public datasets of H&E prostate tissue:
3. Papers on predicting biochemical recurrence from histopathology slides:
- Eminaga, O., Saad, F., Tian, Z. et al. Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images. npj Imaging 2, 6 (2024). https://doi.org/10.1038/s44303-023-00005-z
- Pinckaers, H., van Ipenburg, J., Melamed, J. et al. Predicting biochemical recurrence of prostate cancer with artificial intelligence. Commun Med 2, 64 (2022). https://doi.org/10.1038/s43856-022-00126-3
4. Libraries to read multiresolution pyramidal tiff histopathology slides: