{"access":"registration","annotations":"ISUP grade group (1\u20135) per biopsy; Radboud slides also have region-level Gleason pattern masks.","article":null,"cancer_slugs":["prostate"],"details":"","doi":null,"formats":["TIFF","CSV"],"hf":null,"huggingface":null,"kind":"benchmark","license":"CC BY-NC-SA 4.0 (Kaggle competition rules)","modalities":["histopathology"],"models":[{"name":"UNI","note":"prostate Gleason grading benchmark","role":"evaluation","slug":"uni"}],"name":"PANDA \u2014 Prostate cANcer graDe Assessment","page":"/ai-oncology/datasets/panda","provider":"Radboud UMC and Karolinska Institutet (Kaggle challenge)","size":{"items":10616,"notes_en":"the largest public prostate biopsy set; Gleason / ISUP grade per biopsy from two centres","notes_pl":"najwi\u0119kszy publiczny zbi\u00f3r biopsji prostaty; stopie\u0144 Gleasona / ISUP per biopsja z dw\u00f3ch o\u015brodk\u00f3w","unit":"biopsy WSIs"},"slug":"panda","sources":[{"label":"Bulten W et al. Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. Nat Med 2022","url":"https://www.nature.com/articles/s41591-021-01620-2"},{"label":"Kaggle \u2014 PANDA","url":"https://www.kaggle.com/competitions/prostate-cancer-grade-assessment"}],"summary":"Reference dataset and challenge for AI Gleason grading; the follow-up Nature Medicine paper validated algorithms on external cohorts.","tasks":["classification"],"url":"https://www.kaggle.com/competitions/prostate-cancer-grade-assessment","verified_at":"2026-09-05T22:25:58.872361"}