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Table 2 Acc, Sens, Spec and Para(M) in ablation experiments

From: GC-WIR : 3D global coordinate attention wide inverted ResNet network for pulmonary nodules classification

Model

Acc \(\uparrow\)

Sensv \(\uparrow\)

Spec \(\uparrow\)

Para(M)\(\downarrow\)

Base(Res+CBAM)

87.78

71.43

89.19

7.84

Res\(+\)GAM

90.38

87.75

80.63

11.12

Res\(+\)CA

89.42

85.71

80.81

8.85

Res\(+\)GCA

90.38

75.3

87.36

2.7

GCA\(+\)WRN

91.34

85.72

82.92

4.35

GCA+WIRN(GC-WIR)

94.32

91.49

93.69

5.76

  1. The best results in each column are shown in bold
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BMC Pulmonary Medicine

ISSN: 1471-2466

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