Datasets:
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# 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. |