Research Article
Classification of Benign and Malignant Lung Nodules Based on Deep Convolutional Network Feature Extraction
Table 4
Comparison of the results of different methods.
| Method | Number of nodules | Error (%) |
| Multiscale CNN [33] | 865 | 15.9 | AlexNet + cascaded classifier [34] | 1990 | 15.3 | VGG16 + SVM [35] | 1945 | 12.2 | B-CNN-FT [4] | 3186 | 8.8 | 3D-CNN + QIF [36] | 664 | 6.8 | 3D-CNN + multiscale + multi [20] | 962 | 6.08 | 3D-Inception-ResNet + hand-crafted features [21] | 1036 | 5.02 | DCN + MB-SGD | 750 | 4.0 |
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