Table 4 Accuracy comparison with existing works

[6]

COVID-19 detection from CT images

59.12

[21]

Coronavirus detection from images of chest radiography

78

[22]

Diagnosis of COVID-19 using CT scans

73

[29]

GAN-based COVID-19 detection—GoogleNet

80.6

[30]

Attention-based COVID-19 detection—VGG16

79.6

[31]

COVID-19 prediction—U-Net, ResNet50

76.2

[25]

COVID-19 classification from grayscale CT images—VGG16

69.08

[25]

COVID-19 classification from grayscale CT images—ViT-B16

81.93

[25]

COVID-19 classification from grayscale CT images—ViT-B32

78.31

[26]

Automated detection of COVID-19 -DenseNet169 + Random Forest

80.15

[26]

Automated detection of COVID-19—DenseNet169 + SVM

79.20

[26]

Automated detection of COVID-19—DenseNet169

83.02

[26]

Automated detection of COVID-19—MobileNetV2

82.57

[32]

COVID-19 classification—ResNet152V2

82.6

Proposed work

Classification of COVID-19 using HRCT Score on CT images

83.5