Research Article
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning
Table 4
Comparison of the classification results of lung nodules with different methods.
| Methods | Accuracy (%) | Precision (%) | Recall (%) | Specificity (%) | F1-score (%) | FPR (%) |
| Curvelet + SVM | 88.27 | 90.12 | 87.69 | 85.94 | 88.89 | 8.60 | VGG19 | 96.48 | 97.10 | 95.17 | 96.83 | 96.13 | 3.72 | InceptionV3 | 95.81 | 96.35 | 95.30 | 95.76 | 95.85 | 3.87 | Deep residual network | 98.23 | 98.46 | 97.70 | 98.35 | 98.06 | 1.65 |
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