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Table 2 The results obtained over two scenarios

From: Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network

Dataset

Testing

Accuracy (%)

Precision (%)

Recall (%)

F1-Score (%)

LIDC-IDRI (10-Fold Cross-Validation)

Scenario 1 (Validation Average)

92.56

90.12

95.87

92.77

LIDC-IDRI (20% Testing Set)

Scenario 1 (Independent Testing)

93.3

91.36

95.71

93.48

LIDC-IDRI (100% Training)

Scenario 2 (Test on LUNA16)

72.6

72.3

73.82

73.39

LIDC-IDRI (100% Training)

Scenario 2 (Test on LUNGx)

71.23

67.56

73.52

70.42