Table 4 Performance analysis for segmentation of subjects with missing tooth
From: Multi-orientation local ternary pattern-based feature extraction for forensic dentistry
Person | Subject 5 | Subject 6 | Subject 7 | Subject 8 |
|---|---|---|---|---|
Accuracy | 98.88 | 98.97 | 98.37 | 97.71 |
Sensitivity | 99.90 | 99.93 | 99.75 | 99.53 |
Specificity | 96.61 | 96.36 | 94.03 | 94.07 |
Precision | 98.50 | 98.68 | 98.13 | 97.09 |
Recall | 99.90 | 99.93 | 99.75 | 99.53 |
False-positive rate | 0.0339 | 0.0364 | 0.0597 | 0.0593 |
False-negative rate | 0.0009 | 0.0007 | 0.0025 | 0.0047 |