{"access":"open","annotations":"Pixel-level contours of lymph-node metastases (CAMELYON16) drawn by pathologists; slide-level labels and patient pN stage (CAMELYON17).","article":null,"cancer_slugs":["invasive-breast-carcinoma"],"details":"","doi":null,"formats":["TIFF","CSV"],"hf":null,"huggingface":null,"kind":"benchmark","license":"CC0","modalities":["histopathology"],"models":[{"name":"UNI","note":"slide-level metastasis detection benchmark","role":"evaluation","slug":"uni"},{"name":"H-optimus-0","note":"","role":"evaluation","slug":"h-optimus-0"}],"name":"CAMELYON16 / CAMELYON17","page":"/ai-oncology/datasets/camelyon16","provider":"Radboud University Medical Center and partners (grand-challenge.org)","size":{"items":1399,"notes_en":"CAMELYON16: 399 slides (270 train / 129 test) with pixel-level metastasis annotations; CAMELYON17: 1,000 slides from 5 centres with patient-level pN stage","notes_pl":"CAMELYON16: 399 preparat\u00f3w (270 tren. / 129 test.) z adnotacjami przerzut\u00f3w na poziomie pikseli; CAMELYON17: 1000 preparat\u00f3w z 5 o\u015brodk\u00f3w ze stadium pN per pacjent","unit":"WSIs"},"slug":"camelyon16","sources":[{"label":"CAMELYON17 challenge","url":"https://camelyon17.grand-challenge.org/"},{"label":"Bejnordi BE et al. JAMA 2017 \u2014 CAMELYON16 results","url":"https://jamanetwork.com/journals/jama/fullarticle/2665774"}],"summary":"The canonical whole-slide benchmark for breast cancer lymph-node metastasis detection; still the first sanity check for any new pathology encoder.","tasks":["detection","classification","segmentation"],"url":"https://camelyon17.grand-challenge.org/","verified_at":"2026-09-05T22:25:58.842206"}