Description

"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."

Update Frequency

As required

License

CC BY-NC 4.0

Documentation

https://tiger.grand-challenge.org/Data/

Managed By

Radboud University Medical Center

See all datasets managed by Radboud University Medical Center.

Contact

support@grand-challenge.org

How to Cite

TIGER Training was accessed on DATE from https://registry.opendata.aws/tiger.

Usage Examples

Tools & Applications

• TIGER Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  
• Whole slide data - python package for working with wholeslide images and annotations files by Diagnostic Image Analysis Group, Radboudumc, Nijmegen