NIFTI CT images were converted from DICOM images. CT reconstruction algorithm was soft tissue without intravenous contrast.  

Patients presented to a health care setting with either symptoms &/or exposure to an infected patient, &/or travel history to an outbreak region. All patients had a positive RT-PCR for SARS-CoV-2 from a sample obtained within 1 day of the initial CT. There may be follow-up versions of this data set which include more sources of CT data or metadata, or annotated data to potentially make this dataset a useful tool and resource for developing algorithms for medical applications or data analysis challenges.

A multidisciplinary team trained several models using portions of this data set (along with manually annotated images and other data &/or other CT’s). A classification model derived in part from portions of this data (& other data) can be found at: https://wwwXXX  or [DOI pubmed PMID].EMBARGOED FOR NOW / WILL PROVIDE WHEN EMBARGO LIFTED

Models partly derived from portions of this (& other) data may be found at:   https://ngc.nvidia.com/catalog/resources/nvidia:clara:clara_ai_covid19_pipeline

A web-based research-only model (website for research use only) has CT drag-and-drop functionality. Upload of CT yields a return email that contains the results. This model is also partly derived from portions of this (& other) data: https://marketplace.arterys.com/model/nvidiacovidCT.