
Overview
"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.
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Open Data Sponsorship Program
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This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Whole slide images with corresponding annotations including tumor, stroma and tumor infiltrating lymphocytes
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::camelyon-dataset
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://camelyon-dataset/
Resources
Vendor resources
Support
Managed By
Radboud University Medical Center
How to cite
CAncer MEtastases in LYmph nOdes challeNge (CAMELYON) Dataset was accessed on DATE from https://registry.opendata.aws/camelyon .
License
CC0
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