Open ieee8023 opened 4 years ago
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).
Check out the Lung CT datasets from https://www.cancerimagingarchive.net/
TCIA is a great resource for any kind of (cancer related) medical imaging.
ImageCLEFmed Tuberculosis Challenge (2019) 335 chest CT scans. Labels are CT-wise scale. https://www.crowdai.org/challenges/imageclef-2019-tuberculosis-severity-scoring
ImageCLEFmed Tuberculosis Challenge (2020) 403 chest CT scans. Labels are on a lung-wise scale rather than CT-wise scale. https://www.imageclef.org/2020/medical/tuberculosis/
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.