Table 1.

Review of state-of-the-art method review.

Study	Database	Year	Features extracted	Classification method	Network type
Ozturk et al. [6]	GitHub - Covid Chest X-ray Data set	2020	Deep features	Binary classification	CNN
Ozturk et al. [6]		2020	Deep features	Multiclass Classification	CNN
Toğaçar et al. [7]	1. GitHub - Covid Chest X-ray Data set	2020	Deep features	Multiclass classification	SVM
	2. Kaggle - COVID-19 Chest X-ray Database
Ucar and Korkmaz [8]	1. Kaggle - COVID-19 Chest X-ray Database	2020	Deep features	Multiclass classification	Deep Bayes-SqueezeNet
	2. Kaggle - RSNA Pneumonia Detection Challenge
	3. GitHub - Actualmed-COVID- Chest X-ray Data set
	4. GitHub - Covid Chest X-ray Data set
Apostolopoulos and Mpesiana [9]	Kaggle – X-rays and CT Snapshots of COVID-19 Patients	2020	Deep features	Binary classification	Pretrained models
Apostolopoulos and Mpesiana [9]		2020		Binary classification	Pretrained models
Apostolopoulos and Mpesiana [9]		2020		Multiclass classification	Pretrained models
Apostolopoulos and Mpesiana [9]		2020		Multiclass classification	Pretrained models
Butt et al. [10]	Not Declared	2020	Deep features	Multiclass classification	3D CNN
Li et al. [11]	GitHub - COVNet	2020	Deep features	Binary classification	3D CNN
Kang et al. [12]	Chinese Center for Disease control and prevention	2020	Radiomic and Handcrafted features	Binary classification	V-Net
Afshar et al. [13]	1. Kaggle - COVID-19 Chest X-ray Database	2020	Deep features	Binary classification	Capsule network
	2. Kaggle - RSNA Pneumonia Detection Challenge
	3. GitHub - Actualmed-COVID- Chest X-ray data set
	4. GitHub - Covid Chest X-ray data set
Mahdy et al. [14]	1. Montgomery County X-ray data set	2020	No feature extraction	Binary classification	SVM
	2. GitHub - Covid Chest X-ray data set
Hemdan et al. [15]	GitHub - Covid Chest X-ray Data set	2020	Deep features	Binary classification	Pretrained models