CAncer MEtastases in LYmph nOdes challeNge (CAMELYON) Dataset Dataset for Machine Learning
Install DagsHub:
pip install dagshubTo stream this data directly on DagsHub
from dagshub.streaming import DagsHubFilesystem
fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/camelyon-dataset")
fs.listdir("s3://camelyon-dataset")Description
“This dataset contains the all data for the CAncer MEtastases in LYmph nOdes challeNge or CAMELYON. CAMELYON was the first challenge using whole-slide images in computational pathology and aimed to help pathologists identify breast cancer metastases in sentinel lymph nodes. Lymph node metastases are extremely important to find, as they indicate that the cancer is no longer localized and systemic treatment might be warranted. Searching for these metastases in H&E-stained tissue is difficult and time-consuming and AI algorithms can play a role in helping make this faster and more accurate.
Additional information
Documentation
Update frequency
As required
Managed by
Radboud University Medical Center
License
CC0
