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Table 4 Performance of COVID-19 classification achieved by using 2D features and using 2D and 3D features

From: Pulmonary lesion subtypes recognition of COVID-19 from radiomics data with three-dimensional texture characterization in computed tomography images

Feature

Label

Precision (%)

Recall (%)

Accuracy (%)

F-measure (%)

2D

1

88.38

93.56

89.37

90.89

2

84.18

81.9

93.12

83.02

3

85.94

79.14

98.47

82.4

4

79.84

69.29

91.2

74.19

2D and 3D

1

92.21

95.52

93.06

93.84

2

93.17

91.58

96.84

92.37

3

95.14

95.8

99.58

95.47

4

88.43

80.75

94.3

84.42