Table 3.
An outline of COVID-19 open-access databases
| Ref | Database Name | Number of patients | Data format | Country | Dataset link |
|---|---|---|---|---|---|
| [119] | SIRM (Italian Society of Medical and Interventional Radiology database) | 68 patients | JPEG | Italy | https://sirm.org/category/senza-categoria/covid-19/ |
| [120] | Radiopaedia database | 101 cases | JPEG | Worldwide | https://radiopaedia.org/articles/covid-19-4?lang=us |
| [121] | MosMed: Chest CT scan database | 1110 cases | NIfTI | Russia | https://mosmed.ai/datasets/covid19_1110/ |
| [122] | UCSD (University of California San Diego) Chest CT database | 349 CT scans from 216 cases | PNG | Worldwide | https://github.com/UCSD-AI4H/COVID-CT |
| [123] | COVID-19 ML database | 930 CT scans from 461 cases | JPEG, NIfTI | Worldwide | https://github.com/ieee8023/covid-chestxray-dataset |
| [124] | COVID-19 CT segmentation database 1 | 100 slices from 50 patients | NIfTI | Italy | http://medicalsegmentation.com/covid19/ |
| [125] | CT Scan segmentation database 2 | 800 Lung slices from 9 cases | NIfTI | Worldwide | http://medicalsegmentation.com/covid19/ |
| [126] | COVID-19 CT Lung slices and infection segmentation | 20 patients | NIfTI | Worldwide | https://zenodo.org/record/3757476#.YSDS6Y4zbIV |
| [127] | AIforCOVID medical image database | 983 cases | DICOM | Italy | https://aiforcovid.radiomica.it/ |
| [128] | Eurorad dataset | 50 cases | JPEG | Worldwide | https://www.eurorad.org/advanced-search?search=COVID |
JPEG joint photographic experts group, PNG portable network graphics, NIfTI neuroimaging informatics technology initiatives, DICOM digital imaging and communications in medicine