Table 6.
Training method | Candidate detector sensitivity (before classification) | Number of features selected for classification | Overall CAD performance AUC (0 to 10 FPs) | 95% Confidence AUC (0 to 10 FPs) interval | ANODE score |
---|---|---|---|---|---|
Aggregate | 96.49 | 13 | 8.57 | 0.705 | |
Homogeneous thickness | 96.49 | 12 | 8.68 | 0.718 | |
Common thickness | 96.49 | 12 | 8.74 | 0.723 |
Note: Bold values represent the best performance among the compared methods.