Research Article
Classification of Pulmonary Nodules by Using Hybrid Features
Table 2
Overall performance results of the proposed classification approach.
| | Sensitivity (%) | TCA (%) | Specificity (%) | AUROC | Kappa | RMSE |
| Method 1 | | | | | | | ANN | 87.5 | 84.9 | 83.8 | 0.928 | 0.693 | 0.356 | RF | 87.5 | 80.2 | 81.8 | 0.889 | 0.594 | 0.375 | Bagging (ANN) | 100 | 61.6 | 100 | 0.599 | 0.145 | 0.557 | Bagging (RF) | 87.5 | 86.0 | 84.2 | 0.911 | 0.717 | 0.339 | Adaboost (ANN) | 87.5 | 81.4 | 82.4 | 0.920 | 0.619 | 0.416 | Adaboost (RF) | 83.3 | 75.6 | 75.8 | 0.880 | 0.498 | 0.384 |
| Method 2 | | | | | | | ANN | 85.4 | 83.7 | 81.6 | 0.913 | 0.670 | 0.327 | RF | 83.3 | 83.7 | 80.0 | 0.890 | 0.672 | 0.356 | Bagging (ANN) | 100 | 60.5 | 100 | 0.616 | 0.116 | 0.522 | Bagging (RF) | 83.3 | 81.4 | 78.9 | 0.912 | 0.623 | 0.346 | Adaboost (ANN) | 81.3 | 80.2 | 76.9 | 0.869 | 0.600 | 0.385 | Adaboost (RF) | 83.3 | 80.2 | 78.4 | 0.901 | 0.598 | 0.351 |
| Method 3 | | | | | | | ANN | 83.3 | 83.7 | 80.0 | 0.893 | 0.672 | 0.358 | RF | 81.3 | 77.9 | 75.7 | 0.869 | 0.551 | 0.383 | Bagging (ANN) | 39.6 | 59.3 | 52.5 | 0.738 | 0.224 | 0.482 | Bagging (RF) | 83.3 | 84.9 | 80.5 | 0.912 | 0.696 | 0.344 | Adaboost (ANN) | 83.3 | 83.7 | 80.0 | 0.867 | 0.672 | 0.378 | Adaboost (RF) | 85.4 | 83.7 | 81.6 | 0.906 | 0.670 | 0.348 |
| Method 4 | | | | | | | ANN | 89.6 | 90.7 | 87.5 | 0.940 | 0.812 | 0.307 | RF | 85.4 | 83.7 | 81.6 | 0.908 | 0.670 | 0.335 | Bagging (ANN) | 60.4 | 66.3 | 59.6 | 0.770 | 0.333 | 0.463 | Bagging (RF) | 87.5 | 86.0 | 84.2 | 0.922 | 0.717 | 0.325 | Adaboost (ANN) | 87.5 | 86.0 | 84.2 | 0.921 | 0.717 | 0.334 | Adaboost (RF) | 85.4 | 80.2 | 80.0 | 0.911 | 0.596 | 0.343 |
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