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About this dataset

> CT scans plays a supportive role in the diagnosis of COVID-19 and is a key procedure for determining the severity that the patient finds himself in. Models that can find evidence of COVID-19 and/or characterize its findings can play a crucial role in optimizing diagnosis and treatment, especially in areas with a shortage of expert radiologists. This dataset contains 20 CT scans of patients diagnosed with COVID-19 as well as segmentations of lungs and infections made by experts.

How to use this dataset

> - Getting started notebook

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Acknowledgements

If you use this dataset in your research, please credit the authors. > ### Data sources > [1] - Paiva, O., 2020. CORONACASES.ORG - Helping Radiologists To Help People In More Than 100 Countries! | Coronavirus Cases - 冠状病毒病例. [online] Coronacases.org. Available at: <link> [Accessed 20 March 2020].

> [2] - Glick, Y., 2020. Viewing Playlist: COVID-19 Pneumonia | Radiopaedia.Org. [online] Radiopaedia.org. Available at: <link> [Accessed 20 April 2020].

> ### Expert Annotations [3] - Ma Jun, Ge Cheng, Wang Yixin, An Xingle, Gao Jiantao, Yu Ziqi, … He Jian. (2020). COVID-19 CT Lung and Infection Segmentation Dataset (Version Verson 1.0) [Data set]. Zenodo. DOI

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> Image by rawpixel.com

Licenses

> - Coronacases (CC BY NC 3.0)

• Radiopedia (CC BY NC SA 3.0)
• Annotations (CC BY 4.0)

Versions

> Version 1: 6 CT scans crawled from radiopedia.org, images are in jpg/png format Version 2: 10 CT scans crawled from coronacases.org, dicom format Version 3: 20 CT scans (10 from radiopedia, 10 from coronacases), as well as expert annotations, images are in NifTi format (*.nii) Version 4: Same as version 3, added metadata.csv for quality of life improvement.