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Pathology AI benchmarks (CAMELYON, PANDA, TCGA slide tasks)
Pathology AI benchmarks are the open challenge datasets on which every pathology model is scored: CAMELYON16 and 17 for lymph node metastasis detection, PANDA for prostate grading with 11,000 biopsies, and TCGA slide-level tasks used to compare foundation models. Licences are mostly CC BY-NC-SA or set per challenge.
Overview
Pathology AI benchmarks are the exam papers on which every pathology model is graded. The open challenge datasets include CAMELYON16 and CAMELYON17 for lymph node metastasis detection, PANDA for prostate grading, and TCGA-derived slide-level tasks used to compare foundation models. PANDA, with 11,000 biopsies, remains the largest public prostate grading set, and leaderboards such as eva and HEST aggregate results across models. The datasets are maintained by Grand Challenge, Radboud UMC and partners, under CC BY-NC-SA or per-challenge terms. The collection is referenced by the AI in oncology roadmap, which traces the field from pattern readers through foundation models to agents in the workflow.
Holds
Open challenge datasets for lymph node metastasis (CAMELYON16/17), prostate grading (PANDA), and TCGA-derived slide-level tasks used to compare foundation models.
Licence
CC BY-NC-SA and per challenge
Maintainer
Grand Challenge / Radboud UMC and partners
Dataset registry
Size: CAMELYON16/17, PANDA (11,000 biopsies) and TCGA slide tasks
Access: open
Consent and reuse: CC BY-NC-SA and per-challenge terms.
All datasets and the models trained on them →Similar pages
- CollectionNCI Imaging Data Commons (IDC)
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
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- CollectionFlatiron Health and Foundation Medicine Clinico-Genomic Database
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- CollectionTahoe-100M
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
Open-source projects
All open source in oncology →Open-source projects that are the code behind this collection or publish it, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
An evaluation framework for pathology foundation models on standard downstream tasks.