An organized collection of data, initiatives, software and papers for COVID-19 imaging AI.
| Name | Modality | Format | #scans | Labels | Clinical info | Accessibility |
|---|---|---|---|---|---|---|
| SIRM | XR, CT | jpeg | 60 | β | age, medication, history, radiology report | βοΈ NifTI |
| RSNA | CT | png | 11 | β | extensive: age, gender, history, presentation, physical exam, diagnostic testing, diagnosis | γ°οΈ downloadable, but not in batch |
| covid-chestxray-dataset | CT, XR | jpeg, dcm, png | 200+ | βοΈ | extensive: age, gender, scan date, report when available | βοΈ downloadable |
| coronacases.org | CT | dcm | 10 | β | β not downloadable, only viewer | |
| Radiopaedia | CT, XR | jpeg | 34 | β | age, symptoms, PCR | γ°οΈ download as jpeg per slice |
| Name | Description |
|---|---|
| covid19-images | Repository with other datasets as submodules. Soon will include dataloaders for TensorFlow, PyTorch, etc. |
| covid-dataset | Repository with links to other datasets, also non-COVID CT and XR. |
| COVID-CT | Repository with images scraped from papers. Downloadable and includes metadata from image captions. |
| Name | Goal | Partners | Companies | Publicly deployed | Public data |
|---|---|---|---|---|---|
| Imaging COVID-19 AI | Develop AI solution for CT | 20 european hospitals (unclear which), EuSoMII, NCI | Quibim, Robovision | γ°οΈ | β |
| RSNA Data Repository | Build open data repository for research and education | EuSoMII | γ°οΈ | γ°οΈ | |
| Covid19Challenge | Collect data and develop AI solution for CT | LMU, TUM, BBF | M3i, ImFusion, Smart Reporting | γ°οΈ, best models open-source after challenge | γ°οΈ |
| ICOVAI | Develop AI solution and CT database | Amsterdam UMC, Erasmus MC, Liverpool Heart and Chest, Uni of Edinburgh | CIMAR, aidence, Incepto, Nicolab | β | γ°οΈ |
| RDA COVID-19 Working Group | Define guidelines on data sharing and re-use |
| Symbol | Meaning |
|---|---|
| γ°οΈ | Advertised as public |
| βοΈ | Confirmed to be public |
| Name | url | Partners | Modality | Format | Public | Integration | Validation/paper |
|---|---|---|---|---|---|---|---|
| COVnet |  |
CT | dcm | βοΈ | π±οΈ | ||
| DarwinAI (COVID-Net) | |
XR | βοΈ | π±οΈ | |||
| CTAngel | π±οΈ | Renmin Hospital of Wuhan University, Wuhan EndoAngel | CT | jpeg (submit per slice) | βοΈ | Browser | π±οΈ |
| Quibim | π±οΈ | Imaging COVID-19 AI | CT, XR | dcm | βοΈ | Browser | |
| Infervision | π±οΈ | CT | dcm | β | β | ||
| Alibaba Cloud | π±οΈ | CT | dcm | γ°οΈ apply via mail | Cloud | ||
| Behold.ai | π±οΈ | Wellbeing software | XR | jpeg | β | β | |
| Lunit | π±οΈ | XR | dcm | βοΈ 20 cases/day free | Browser upload | Validated on 6 images | |
| CAD4COVID | π±οΈ | Thirona, Delft Imaging, Radboud University, HT Medica, Universitas Indonesia | XR | dcm | βοΈ | Cloud | |
| Arterys | π±οΈ | Aitrox | CT | dcm | βοΈ | Browser upload | |
| RADLogics | π±οΈ | US and Chinese hospitals | CT | dcm | β | β | π±οΈ |
| icometrix | π±οΈ | US and Chinese hospitals | CT | dcm | β | β | |
| Qure | π±οΈ | XR | dcm | β |
| Owner/developer | url | Partners | Modality | Format | Public | Integration | Validation/paper |
|---|---|---|---|---|---|---|---|
| CIMAR | π±οΈ | CT, XR | βοΈ | Browser | |||
| DetectEDx | π±οΈ | University of Sydney | CT | dcm | βοΈ | Browser |
| Link | Title | Journal |
|---|---|---|
| π±οΈ | Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis | arXiv |
| π±οΈ | Lung Infection Quantification of COVID-19 in CT Images with Deep Learning | arXiv |
| π±οΈ | Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia | arXiv |
| π±οΈ | Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification | arXiv |
| π±οΈ | Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT | Radiology |
| π±οΈ | Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach | Radiology: Cardiothoracic Imaging |
| Link | Title | Journal |
|---|---|---|
| π±οΈ | COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images | arXiv |
| Link | Title | Journal |
|---|---|---|
| π±οΈ | Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19 | Radiology: Cardiothoracic Imaging |
| π±οΈ | Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China | European Radiology |
| π±οΈ | Recommendation of low-dose CT in the detection and management of COVID-2019 | European Radiology |
| π±οΈ | CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19) | European Radiology |
| π±οΈ | Coronavirus disease 2019: initial chest CT findings | European Radiology |
| π±οΈ | Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA. | Radiology: Cardiothoracic imaging |
| π±οΈ | A role for CT in COVID-19? What data really tell us so far | The Lancet |
| π±οΈ | Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases | Radiology |
| Link | Title | Journal |
|---|---|---|
| π±οΈ | Clinical Characteristics of Coronavirus Disease 2019 in China | New England Journal of Medicine |
Know of anything that should be listed here? Feel free to submit a pull request or open an issue for anything else!
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