Table 3.
Comparison of our method with other state-of-the-art segmentation methods published previously in terms of sensitivity and specificity (—— means the author did not segment the corresponding plaques).
| Methods | Fibrous | Calcified | Lipid | |
|---|---|---|---|---|
| Our method | Sensitivity | 0.95 ± 0.03 | 0.87 ± 0.06 | 0.81 ± 0.11 |
| Specificity | 0.97 ± 0.02 | 0.92 ± 0.06 | 0.96 ± 0.03 | |
| Deep learning method | Sensitivity | —— | 0.85 ± 0.07 | 0.87 ± 0.07 |
| Specificity | —— | 0.94 ± 0.02 | 0.90 ± 0.05 | |
| Machine learning method | Sensitivity | 0.81 | 0.65 | 0.80 |
| Specificity | 0.91 | 0.91 | 0.88 | |
| Other patch-based method | Sensitivity | 0.89 | 0.34 | 0.88 |
| Specificity | 0.98 | 0.97 | 0.98 | |