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Datasets for unsupervised training

2019 Novel Coronavirus Resource (2019nCoVR)

By China National Center for Bioinformation. 104,009 CT slices from 1,489 patients. The best bet. But we can extend it and combine with other datasets listed below

http://ncov-ai.big.ac.cn/download?lang=en

MosMedData: Chest CT Scans with COVID-19 Related Findings

1110 patients, 1110 scans. Has data with various pneumonia levels: normal lung tissue, no CT-signs of viral pneumonia, several ground-glass opacifications, ground-glass opacifications and regions of consolidation, diffuse ground-glass opacifications and consolidation as well as reticular changes in lungs

http://academictorrents.com/details/f2175c4676e041ea65568bb70c2bcd15c7325fd2

COVID-CTset

https://github.com/mr7495/COVID-CTset

This dataset contains the full original CT scans of 377 persons. There are 15589 and 48260 CT scan images belonging to 95 Covid-19 and 282 normal persons, respectively

SARS-COV-2 Ct-Scan Dataset

https://www.kaggle.com/plameneduardo/sarscov2-ctscan-dataset

1252 positive COVID-19 slices and 1230 negative CT slices. These data have been collected from real patients in hospitals from Sao Paulo, Brazil. Format: PNG

Medicalsegmentation

1000 slices

https://medium.com/@hbjenssen/covid-19-radiology-data-collection-and-preparation-for-artificial-intelligence-4ecece97bb5b

http://medicalsegmentation.com/covid19/

Datasets with annotation for supervised training