Research Article
Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets
Table 4
Statistics of effectiveness before and after rough set reduction.
| | Serial number | Accuracy (%) | Sensibility (%) | Specificity (%) | Processing time (s) |
| Before reduction | 1 | 96.42 | 92.86 | 100 | 1.0610 | 2 | 91.96 | 83.93 | 100 | 0.6170 | 3 | 95.54 | 100 | 91.07 | 0.5490 | 4 | 89.28 | 100 | 78.57 | 0.5630 | 5 | 95.54 | 91.07 | 100 | 0.5470 | 6 | 98.21 | 96.43 | 100 | 0.5460 | 7 | 94.64 | 89.29 | 100 | 0.5460 | 8 | 95.53 | 91.07 | 100 | 0.5460 | 9 | 91.96 | 83.93 | 100 | 0.5460 | 10 | 97.32 | 100 | 96.64 | 0.5300 |
| | Mean | 94.64 | 92.86 | 96.43 | 0.6051 |
| After reduction (Rs1) | 1 | 100 | 100 | 100 | 0.9370 | 2 | 100 | 100 | 100 | 0.4360 | 3 | 100 | 100 | 100 | 0.3870 | 4 | 100 | 100 | 100 | 0.4210 | 5 | 100 | 100 | 100 | 0.4210 | 6 | 100 | 100 | 100 | 0.3900 | 7 | 100 | 100 | 100 | 0.4060 | 8 | 91.67 | 100 | 83.33 | 0.4060 | 9 | 100 | 100 | 100 | 0.3740 | 10 | 100 | 100 | 100 | 0.3930 |
| | Mean | 99.17 | 100 | 98.33 | 0.4571 |
| Increase after reduction | 4.53 | 7.14 | 1.9 | 0.148 |
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