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Although the ideal non-COVID examples would be those suspected of COVID but do not test positive for it like with other types of pneumonia. But in any case here are some other datasets:
Two public chest X-ray datasets for computer-aided screening of pulmonary diseases.
Normal/Abnormal tuberculosis X-ray: https://openi.nlm.nih.gov/faq#faq-tb-coll
The CT volumes (in DICOM format) can be obtained directly from the authors (only available for 1 of the sets).
Although the ideal non-COVID examples would be those suspected of COVID but do not test positive for it like with other types of pneumonia. But in any case here are some other datasets:
Lung CT Segmentation Challenge 2017 (LCTSC)
60 patients
https://academictorrents.com/details/0a3611528c9172383656cb1b6a07cfb7f095eb82
LNDb CT scan dataset (training)
They have lesions though. 294 scans.
https://academictorrents.com/details/e3c196b07c8ea94ac5fca872bccf2cc035f4e88d
Non-Small Cell Lung Cancer CT Scan Dataset (NSCLC-Radiomics-Genomics)
183 scans. They have cancer though.
https://academictorrents.com/details/95b58ebfc1952780cfe2102dd7290889feefad66
LUng Nodule Analysis (LUNA16) All Images
888 scans, they have lesions.
https://academictorrents.com/details/58b053204337ca75f7c2e699082baeb57aa08578
Data Science Bowl 2017 Lung Cancer Detection (DSB3)
Unclear how many scans.
https://academictorrents.com/details/015f31a94c600256868be155358dc114157507fc
Comment to add more sources.
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