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Table 2 DC characterization results in terms of PPV, NPV, sensitivity, specificity, accuracy and AUC without and with PCA method. P-value was obtained using student’s t-test between ground truth data and predicted results (PPV: positive predictive value, NPV: negative predictive value, and AUC: area under the ROC curve)

From: Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network

Mask Size

PPV (%)

NPV (%)

Sensitivity (%)

Specificity (%)

Accuracy (%)

AUC

3 × 3

86.7 ± 0.1

82.5 ± 0.1

81.6 ± 0.1

87.3 ± 0.1

84.5 ± 0.1

0.846 ± 0.002

7 × 7

85.4 ± 0.1

91.8 ± 0.1

92.5 ± 0.1

84.1 ± 0.1

88.3 ± 0.1

0.886 ± 0.001

9 × 9

89.1 ± 0.1

84.0 ± 0.1

82.9 ± 0.1

89.8 ± 0.1

86.3 ± 0.1

0.865 ± 0.001

11 × 11

87.1 ± 0.1

87.4 ± 0.1

87.6 ± 0.1

87.0 ± 0.1

87.3 ± 0.1

0.873 ± 0.001

5 × 5

86.0 ± 0.1†

91.2 ± 0.1*†ψ

92.8 ± 0.1*†ψ

85.1 ± 0.1

88.4 ± 0.1*†

0.886 ± 0.001*â€