
Overview
"This dataset contains the training data for the Tumor InfiltratinG lymphocytes in breast cancER or TIGER challenge. TIGER is the first challenge on fully automated assessment of tumor-infiltrating lymphocytes (TILs) in breast cancer histopathology slides. TILs are proving to be an important biomarker in cancer patients as they can play a part in killing tumor cells, particularly in some types of breast cancer. Identifying and measuring TILs can help to better target treatments, particularly immunotherapy, and may result in lower levels of other more aggressive treatments, including chemotherapy."
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AWS Data Exchange (ADX)
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- 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:::tiger-training
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://tiger-training/
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Managed By
Radboud University Medical Center
How to cite
TIGER Training was accessed on DATE from https://registry.opendata.aws/tiger .
License
CC BY-NC 4.0