# STOIC (Study of Thoracic CT in COVID-19) ## License **CC BY-NC 4.0** [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/) ## Citation Paper BibTeX: ```bibtex @article{revel2021study, title={Study of thoracic CT in COVID-19: the STOIC project}, author={Revel, Marie-Pierre and Boussouar, Samia and de Margerie-Mellon, Constance and Saab, In{\`e}s and Lapotre, Thibaut and Mompoint, Dominique and Chassagnon, Guillaume and Milon, Audrey and Lederlin, Mathieu and Bennani, Souhail and others}, journal={Radiology}, volume={301}, number={1}, pages={E361--E370}, year={2021}, publisher={Radiological Society of North America} } ``` ## Dataset description Collected during March–April 2020 in France, this dataset contains chest CT scans from 10,735 individuals suspected of COVID-19 infection. For each patient in the training set, binary labels indicate COVID-19 presence (RT-PCR confirmed) and severity (intubation or death within one month). The public subset used here contains 2,000 scans as provided for the STOIC2021 challenge. **Challenge homepage**: https://stoic2021.grand-challenge.org/ **Number of CT volumes**: 2000 **Contrast**: Mostly non-contrast; contrast-enhanced CT performed when pulmonary embolism was suspected **CT body coverage**: Chest **Does the dataset include any ground truth annotations?**: No (only labels for classification tasks) **Original GT annotation targets**: - **Number of annotated CT volumes**: - **Annotator**: - **Acquisition centers**: 20 university hospitals: 15 from Assistance Publique des Hôpitaux de Paris and five from other cities (Strasbourg, Lyon, Rennes, and Montpellier). **Pathology/Disease**: COVID-19 pneumonia, suspected of being infected with SARS-COV-2 during the first wave of the pandemic **Original dataset download link**: https://registry.opendata.aws/stoic2021-training/ **Original dataset format**: .mha ## Note This version uses the publicly available 2,000-scan subset released for the STOIC2021 challenge.