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Table 3 The quantitative evaluation of pneumothorax diagnosis results with different models

From: Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study

Models

Accuracy (%)

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

\(F_1\)-score (%)

U-Net [18]

88.39

81.16

95.31

94.31

84.07

87.24

SegNet [32]

90.78

85.87

95.49

94.80

87.58

90.11

DeepLab v3+ [33]

91.10

85.60

96.37

95.76

87.47

90.40

DenseASPP [34]

91.46

86.33

96.37

95.80

88.04

90.82

FC-DenseNet [25]

92.18

84.76

99.29

99.14

87.18

91.39

MS_scSE_U-Net

90.96

85.96

95.75

95.10

87.68

90.30

MS_scSE_FC-DenseNet (Ours)

93.45

88.55

98.14

97.86

89.94

92.97