Table 1.
SVM-SFS prediction on different features
| Features | SEN | SPE | ACC | AUC (95% CI) | |
|---|---|---|---|---|---|
| SA-D0.1/1/2cm3 | 66.25% | 66.73% | 66.55% | 0.71 (0.68–0.72) | |
| FPCA | 74.75% | 72.67% | 73.22% | 0.82 (0.75–0.85) | |
| Fsta | DVPs | 63.42% | 73.20% | 70.37% | 0.76 (0.69–0.80) |
| Texture | 75.50% | 73.23% | 73.86% | 0.82 (0.75–0.86) | |
| DGPs | 60.42% | 74.53% | 70.46% | 0.79 (0.72–0.81) | |
| DVPs + Texture | 81.00% | 78.60% | 79.36% | 0.88 (0.84–0.91) | |
| DVPs + DGPs | 61.92% | 73.83% | 70.40% | 0.79 (0.72–0.82) | |
| DGPs + Texture | 85.17% | 79.13% | 80.84% | 0.91 (0.85–0.92) | |
| DVPs + Texture + DGPs | 84.75% | 79.87% | 81.32% | 0.91 (0.87–0.93) | |