Table 7.
The AUCs of SVM-based Classifiers Constructed from Four Groups the Features of which were Extracted and Selected Based on Four Users′ Nodule Segmentation Results, Respectively
| Feature num. in a subset | User 1 | User 2 | User 3 | User 4 |
|---|---|---|---|---|
| 5 | 0.870041 | 0.863885 | 0.762654 | 0.825581 |
| 10 | 0.881669 | 0.889193 | 0.857729 | 0.859097 |
| 15 | 0.876197 | 0.856361 | 0.810534 | 0.856361 |
| 20 | 0.844733 | 0.853625 | 0.844049 | 0.868673 |
| 25 | 0.79959 | 0.850889 | 0.861833 | 0.807797 |
| 30 | 0.80301 | 0.790698 | 0.759234 | 0.819425 |
| Average | 0.837762 | 0.851705 | 0.82545 | 0.830106 |