No.	Ref.	Imaging modalities	COVID-19 Dataset
1.	Ni et al. [61]	CT images	•Gathered by the authors from hospitals
2.	Xu et al. [75]	CT images	•Gathered by the authors from three hospitals
3.	Abdel-Basset et al. [118]	X-ray	•Github
4.	Abdani et al. [117]	X-ray	•Radiology Society of North America (RSNA)
			•SIRM COVID-19 database
			•Novel corona virus 2019 dataset
			•COVID-19 positive chest X-ray images from different articles
			•COVID-19 chest imaging at thread reader articles
			•Chest X-ray images
5.	Moustafa and El-Seddek [96]	X-ray	•Cohen’s dataset
6.	Tuncer et al. [97]	X-ray	•Github
7.	Panwar et al. [49]	X-ray	•ImageNet dataset
8.	Das et al. [81]	X-ray	•Three class chest X-ray datasets
9.	Carrer et al. [124]	US	•A subset of the Italian COVID-19 lung ultrasound database
10.	Karar et al. [135]	X-ray	•Cohen’s dataset
11.	Öztürk et al. [84]	X-ray, CT	•Gathered by the authors
12.	Ismael and Şengür [77]	X-ray	•Github
			•Kaggle
13.	Elasnaoui and Chawki [95]	X-ray	•Previous literature
			•Covid chest X-ray
14.	Hu et al. [132]	CT images	•Cancer imaging archive (TCIA) public access
15.	Loey et al. [79]	X-ray	•Cohen dataset
			•The pneumonia dataset chest X-ray images, normal
16.	Bahadur Chandra et al. [76]	X-ray	•COVID-ChestXray set
			•Montgomery set
			•NIH ChestX-ray14 set
17.	Che Azemin et al. [125]	X-ray	•ChestX-ray14
			•COVID-19 X-ray data set
18.	Horry et al. [82]	X-ray, CT, US	•X-rays were obtained from the publicly accessible COVID-19 image
19.	Toğaçar et al. [60]	X-ray	•Cohen dataset
			•Kaggle website
			•Collected from patients
20.	Pereira et al. [83]	X-ray	•Cohen dataset
			•Radiopedia encyclopedia
			•NIH dataset
21.	Sahlol et al. [73]	X-ray	•Cohen and Paul Morrison and Lan Dao
			•Italian cardiothoracic radiologist
			•Kaggle website
			•Italian Society of Medical and Interventional Radiology (SIRM)
22.	Turkoglu [71]	X-ray	•Github website
			•Kaggle website
23.	Ucar and Korkmaz [78]	X-ray	•Cohen dataset
			•Kaggle chest
24.	Duran-Lopez et al. [57]	X-ray	•BIMCV-COVID19+ dataset
			•Cohen dataset
			•PadChest dataset by BIMCV
25.	Singh et al. [146]	X-ray	•Data set based on previous literature
26.	Oh et al. [59]	X-ray	•JSRT/SCR dataset
			•NLM(MC)
			•Cohen dataset
			•CoronaHack
27.	Civit-Masot et al. [94]	X-ray	•X-ray images from GitHub
28.	Yoo et al. [103]	X-ray	•Shenzhen set
			•NIH (National Institutes of Health, US) Clinical Center
			•Hospital dataset
			•COVID-chest Xray-dataset
29.	Pathak et al. [74]	CT images	•Data set based on previous literature
30.	Sedik et al. [88]	X-ray, CT images	•Hitherto dataset
31.	Novitasari et al. [99]	X-ray	•Github
			•Kaggle
32	Karakuş et al. [134]	US	•Nine COVID-19 patients
33.	Anastasopoulos et al. [102]	CT images	•COVID-19 patient dataset
			•CT datasets of patients with different medical histories other than COVID-19
34.	Suman et al. [148]	CT images	•Radiologists’ review [128]
35.	Hassantabar et al. [131]	X-ray	•COVID-CT-dataset [155]
			•COVID-SemiSeg dataset [116,139]
36.	Kang et al. [92]	CT images	•Datasets by three hospitals and collaborators:
37.	Heidari et al. [70]	X-ray	•Allen Institute for AI in partnership
			•Chan Zuckerberg initiative
			•Georgetown University’s Center for Security and Emerging Technology
			•Microsoft research
			•National library of medicine
			•National Institutes of Health
			•The White House Office of Science and Technology Policy
38.	Karthik et al. [69]	X-ray	•Joseph Cohen dataset
			•Radiopaedia
			•AG Chung dataset
			•ActualMed dataset SIRM
			•RSNA challenge
			•Paul Mooney dataset
39.	Elaziz et al. [68]	X-ray	•Cohen dataset
			•Team of researchers from Qatar University, Doha, Qatar, and the University of Dhaka, Bangladesh, along with their collaborators
40.	Goel et al. [72]	X-ray	•Provincial peoples hospital
			•Kaggle
41.	Wang et al. [149]	CT images	•CT scans of 4657 patients were collected from several hospitals
			•LUNA-16 dataset
42.	Altan and Karasu [119]	X-ray	•Gathered by the authors
43.	Mohammed et al. [85]	CT images	•Cohen dataset
44.	Das et al. [126]	X-ray	•COVID-19 collection
			•Kaggle CXR collection
			•Two publicly available Tuberculosis (TB) collections
45.	Dey et al. [127]	CT images	•COVID-19 CT segmentation dataset
46.	Singh et al. [147]	CT images	•COVID-19 collection
			•Italian society of medical and interventional research (60 COVID-19 CT scans)
			•A CT scan dataset of 617 COVID and non-COVID images
47.	Fung et al. [129]	CT images	•Integrative resource of lung CT images and clinical features
			•Med-Seg (medical segmentation) COVID19 dataset
48.	Shazia et al. [80]	X-ray	•7165 chest X-ray images of COVID-19 (1536) and pneumonia (5629) patients
49.	Kugunavar and Prabhakar [139]	CT images	•COVID-19 CT images
50.	Garain et al. [130]	CT images	•COVID-19 CT images
51.	Niu et al. [144]	CT images	•Office-31
		X-ray	•Caltech-256
			•Chest X-ray image
			•Lung CT
			•Covid19-CT
52.	Xie et al. [151]	CT images	•A public dataset contains CT images of more than 40 COVID-19 patients
53.	Madan et al. [141]	CT images	•2482 CT images
54.	Manav et al. [142]	X-ray	•Kaggle database
55.	Rahimzadeh et al. [145]	CT images	•48,260 CT scan images (normal)
			•15,589 images (infected)
56.	Khan [137]	X-ray	•340 X-ray images
57.	Junior et al. [133]	X-ray	•227 X-ray images
58.	Arora et al. [122]	X-ray	•5840 X-ray images
		CT images	•Kaggle database
59.	Kaushik et al. [136]	CT images	•SARS-CoV-2 CT-scan dataset [121]
60.	Zhang et al. [153]	CT images	•148 COVID-19 patients and 148 healthy control subjects [154]
61.	Khanna et al. [138]	X-ray	•Three open access datasets
		CT images	•One private customized dataset
62.	Baz et al. [123]	CT images	•Kaggle datasets [150,152]
		CXR scans
63.	Müller et al. [143]	CT images	•Two public datasets [120,140]