Table 4 The cumulative variance contribution rate corresponding to different feature dimensions selected by the feature extraction mode.

From: Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO

Model

CBAM

Dimension

ACC (%)

SEN (%)

F1-score

VGG16

 

98

97.81

97.69

0.9820

AE-VGG16

\(\surd\)

98

98.25

97.99

0.9845

VGG19

 

98

96.4

94.85

0.9683

AE-VGG19

\(\surd\)

98

99.39

99.84

0.9945

  1. Significant values are in bold.
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