STOIC2021 Training

computed tomography computer vision coronavirus COVID-19 grand-challenge.org imaging life sciences SARS-CoV-2

Description

The STOIC project collected Computed Tomography (CT) images of 10,735 individuals suspected of being infected with SARS-COV-2 during the first wave of the pandemic in France, from March to April 2020. For each patient in the training set, the dataset contains binary labels for COVID-19 presence, based on RT-PCR test results, and COVID-19 severity, defined as intubation or death within one month from the acquisition of the CT scan. This S3 bucket contains the training sample of the STOIC dataset as used in the STOIC2021 challenge on grand-challenge.org.

Update Frequency

The full training set was published at the release.

License

CC-BY-NC 4.0

Documentation

https://pubs.rsna.org/doi/full/10.1148/radiol.2021210384

Managed By

Radboud University Medical Center

See all datasets managed by Radboud University Medical Center.

Contact

support@grand-challenge.org

How to Cite

STOIC2021 Training was accessed on DATE from https://registry.opendata.aws/stoic2021-training. STOIC2021 Training was documented in Thoracic CT in COVID-19: The STOIC Project, Revel, Marie-Pierre, et al. Radiology, 2021, https://doi.org/10.1148/radiol.2021210384.

Usage Examples

Tools & Applications
Publications

Resources on AWS

  • Description
    The data set contains 2000 CT scans stored as compressed .mha files. Each file corresponds to a unique patient. the reference.csv file contains the reference labels for COVID-19 presence and severity, indexed by patient ID.
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::stoic2021-training
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://stoic2021-training/ --no-sign-request

Edit this dataset entry on GitHub

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