STOIC2021 Training

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

• STOIC2021 Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

Publications

• How Well Do Self-Supervised Models Transfer to Medical Imaging? by Anton J, Castelli L, Chan MF, Outthers M, Tang WH, Cheung V, et al.
  
• Study of Thoracic CT in COVID-19: The STOIC Project by Revel MP, Boussouar S, de Margerie-Mellon C, Saab I, Lapotre T, Mompoint D, et al.