We are continuously adding new COVID CT images and we would like to invite the community to contribute COVID CTs as well.

The COVID-CT-Dataset has 349 CT images containing clinical findings of COVID-19. They are in ./Images-processed/CT_COVID.zip

Non-COVID CT scans are in ./Images-processed/CT_NonCOVID.zip

We provide a data split in ./Data-split. Data split information see README for DenseNet_predict.md

The meta information (e.g., patient ID, DOI, image caption) is in COVID-CT-MetaInfo.xlsx

The images are collected from COVID19-related papers from medRxiv, bioRxiv, NEJM, JAMA, Lancet, etc. CTs containing COVID-19 abnormalities are selected by reading the figure captions in the papers. All copyrights of the data belong to the authors and publishers of these papers.

We developed a baseline method for the community to benchmark with. The details are in README for DenseNet_predict.md

• To contribute to our project, please email your data to [email protected] with the corresponding meta information (Patient ID, DOI and Captions).
• We recommend you also extract images from publications or preprints. Make sure the original papers you crawled have different DOIs from those listed in COVID-CT-MetaInfo.xlsx.
• In COVID-CT-MetaInfo.xlsx, images with the form of 2020.mm.dd.xxxx are crawled from bioRxiv or medRxiv. The DOIs for these preprints are 10.1101/2020.mm.dd.xxxx.

Please refer to the preprint for details: COVID-CT-Dataset: A CT Scan Dataset about COVID-19

If you find this dataset and code useful, please cite:

@article{zhao2020COVID-CT-Dataset,
  title={COVID-CT-Dataset: a CT scan dataset about COVID-19},
  author={Zhao, Jinyu and Zhang, Yichen and He, Xuehai and Xie, Pengtao},
  journal={arXiv preprint arXiv:2003.13865}, 
  year={2020}
}