TIGER Training

cancer computational pathology computer vision deep learning grand-challenge.org histopathology life sciences

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

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

How to Cite

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

Usage Examples

Tools & Applications

Resources on AWS

  • 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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