Table 1.

Chest medical imaging datasets of COVID‐19, pulmonary diseases, and healthy samples

Data set	Modality	Description
Zhang et al. 17	Chest CT	The data set encompasses collections of CT images of COVID‐19, other common PNA patients, and normal from the China Consortium of Chest CT Image Investigation (CC‐CCII). It also includes lesion segmentation data set of 750 slices from 150 patients with COVID‐19. The images of lesion segmentation data set were manually segmented into the background, lung field, GGO, and CL. The data set is publicly available at http://ncov-ai.big.ac.cn/download?lang=en
Cohen et al. 18	Chest CT and X‐ray	The data set is composed of 20 COVID‐19 CT scans, and 761 X‐ray (679 frontal and 82 lateral views) images from COVID‐19 and other common PNA patients, includes metadata. The authors extracted the images from websites and online publications. The data set is publicly available at https://github.com/ieee8023/covid-chestxray-data_set
COVID19‐CT 19	Chest CT	The data set is comprised of 349 images from 216 patients with COVID‐19 and 397 non COVID‐19 images. The images extracted from online publications. The data set is publicly available at https://github.com/UCSD-AI4H/COVID-CT
COVID‐19 and common PNA chest CT data set 20	Chest CT	The COVID‐19 and common PNA chest CT data set is comprised of 416 confirmed COVID‐19 scans, and 412 other common PNA scans. The data set is publicly available at https://data.mendeley.com/datasets/3y55vgckg6/1
COVID‐19 Radiography Database 21	Chest X‐ray	The database is composed of 219 images of COVID‐19, 1345 images of viral PNA, and 1341 normal images. The data set was created from different articles and public datasets. The data set is publicly available at https://drive.google.com/file/d/1xt7g5LkZuX09e1a8rK9sRXIrGFN6rjzl/view?usp=sharing
SIRM COVID‐19 data set 22	Chest CT and X‐ray	Italian Society of Medical and Interventional Radiology (SIRM) COVID‐19 data set contains 94 COVID‐19 X‐rays and 290 COVID‐19 CTs. The data set is publicly available at https://www.sirm.org/category/senza-categoria/covid-19/
Feng et al. 23	Laboratory data and CT characteristics	The data set contains CT features, clinical characteristics, and laboratory data from 141 COVID‐19 patients. CT characteristics include GGO, CL, crazy‐paving, and air bronchogram. The data is available in Excel worksheet within the supplementary information of the paper.
POCUS data set 24	ultrasound	The data set contains 654 COVID‐19 images, 172 normal, and 277 bacterial PNA images. The images are sampled from ultrasound videos from different online sources. The data set is publicly available at GitHub-jannisborn/covid19_pocus_ultrasound: Open source ultrasound (POCUS) data collection initiative for COVID‐19
ICLUS‐DB 25	ultrasound	The Italian COVID‐19 Lung Ultrasound DataBase (ICLUS‐DB) comprises 277 lung ultrasound videos from 35 COVID‐19 patients. Data could be requested through https://iclus-web.bluetensor.ai/login/?next=/
ChestX‐Ray8 26	Chest X‐ray	The database was constructed from 108,948 labeled frontal images from 32,717 other common patients and normal cases collected between 1992 and 2015. The images have one or multi labels, including PNA, pneumothorax, atelectasis, nodule, mass, cardiomegaly, infiltration, effusion, and normal. The data set is publicly available at https://nihcc.app.box.com/v/ChestXray-NIHCC
CheXpert 27	Chest X‐ray	The data set encompasses 224,316 labeled chest radiographs from 65,240 normal and other common patients collected from studies between the 2002 and 2017 at the Stanford Hospital. The images have one or multi labels, including PNA, pneumothorax, CL, lung lesion, lung opacity, atelectasis, nodule, fracture, enlarged cardiom, cardiomegaly, infiltration, edema, effusion, and no finding. The data set is publicly available at https://stanfordmlgroup.github.io/competitions/chexpert/

Abbreviations: CL, consolidation; CT, computed tomography; GGO, ground‐glass opacity; PNA, pneumonia.