Research Article
Computer-Aided Diagnosis Research of a Lung Tumor Based on a Deep Convolutional Neural Network and Global Features
Table 5
Relationship between the number of layers and recognition performance.
| Layer | Convolution and pooling layers | Time (s) | Accuracy (%) | Error (%) | Sensitivity (%) | Specificity (%) | MCC | score |
| 2 | C1-S1 | 117.76 | 50.00 | — | — | — | — | — | 4 | C1-S1-C2-S2 | 485.38 | 82.30 | 17.50 | 99.60 | 65.40 | 0.69 | 0.82 | 5 | C1-S1-C2-S2-C3 | 1161.70 | 83.80 | 16.20 | 72.40 | 95.20 | 0.69 | 0.84 | 6 | C1-S1-C2-S2-C3-S3 | 1765.49 | 89.30 | 10.70 | 92.00 | 86.60 | 0.79 | 0.89 | 7 | C1-S1-C2-S2-C3-S3-C4 | 1779.64 | 85.40 | 14.60 | 97.00 | 73.80 | 0.73 | 0.85 | 8 | C1-S1-C2-S2-C3-S3-C4-S4 | 1881.06 | 76.00 | 24.00 | 65.60 | 86.40 | 0.53 | 0.76 |
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