| # 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. |
