| Contributor | Modality | Findings | Other details provided |
| Zhao et al. [3] | CT | COVID-19, non-COVID | Age, gender, medical history, severity, and other diseases | COVID-19 CT segmentation dataset [126] | CT | COVID-19 | Ground-glass, consolidation, pleural effusion | Eduardo Soares et al. [127] | CT | COVID-19, normal | eXplainable deep neural network (xDNN) | Cohen et al. [2] | X-ray, CT | COVID-19, SARS, pneumonia, influenza, and other associated diseases. | Age, gender, survival, views | Italian Society of Medical and International Radiology [128] | X-ray, CT | COVID-19 | Age, gender, other diseases, medical history | Radiological Society of North America [129] | X-ray, CT | COVID-19, pneumonia | Age, gender, CT findings | Wang et al. [130] | X-ray | COVID-19, pneumonia, normal | COVID-Net source code, age, gender, survival, views | Chowdhury et al. [66, 131] | X-ray | COVID-19, pneumonia, normal | Age, gender, survival, views |
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