Table 1 Diagnostic accuracy of the proposed CAD system. Feature selection had a significant impact on classifier performance with Friedman test \(\chi ^2 = 32.7\), 3 d.f., \(p = 3\times 10^{-7}\). V: Wilcoxon signed rank statistic of performance compared to complete system; p: Associated Bonferroni-corrected p-value.

From: Early assessment of lung function in coronavirus patients using invariant markers from chest X-rays images

 

Sensitivity

Specificity

DSC

Accuracy

V

p

Performance of the proposed whole CAD system

LOSO

100% ± 0.00

100% ± 0.00

100% ± 0.00

100% ± 0.00

Tenfold

100% ± 0.00

99% ± 1.00

99.50% ± 0.50

99.50% ± 0.50

Fourfold

100% ± 0.00

98% ± 2.00

99% ± 1.00

99% ± 1.00

Twofold

100% ± 0.00

97% ± 3.00

98% ± 2.00

98% ± 2.00

Performance of the proposed CAD system when using only the estimated energy at \(\nu\)1

LOSO

76% ±4.29

96% ± 1.97

75% ± 4.27

86% ± 2.37

118

0.0033

Tenfold

74% ± 1.26

98% ± 4.21

83.61% ± 9.15

86% ± 7.37

Fourfold

71% ± 8.28

98% ± 2.31

81.87% ± 5.05

84.50% ± 3.41

Twofold

71% ±4.24

99% ± 1.41

80.87% ± 2.14

80.30% ± 1.41

Performance of the proposed CAD system when using only the estimated energy at \(\nu\)2

LOSO

81% ± 3.94

94% ± 2.39

79.33% ± 3.93

87.5% ± 2.28

136

0.0014

Tenfold

79% ± 1.29

94% ± 5.07

85.45% ± 6.23

87% ± 4.83

Fourfold

80% ± 8.86

93% ± 6.31

83.83% ± 6.15

86.50% ± 3.41

Twofold

77% ± 1.41

91% ± 2.82

82.16% ± 2.20

85.50% ± 2.12

Performance of the proposed CAD system when using only the estimated energy at \(\nu\)3

LOSO

97% ±1.71

94% ± 2.39

95% ± 1.85

95.5% ± 1.43

136

0.0014

Tenfold

93% ± 8.23

97% ± 4.83

94.78% ± 5.56

95% ± 5.27

Fourfold

92% ± 1.13

95% ± 3.83

93.16% ± 7.82

93.50% ± 7.19

Twofold

91% ±7.07

95% ± 1.41

92.79% ± 3.20

93% ± 2.82