Table 2 Performance metrics for each individual tooth type using our proposed architecture on the 16-category dataset version (L: Left, R: Right)
From: 3D tooth identification for forensic dentistry using deep learning
Tooth | Central Incisor (L) | Lateral Incisor (L) | Canine (L) | 1st Premolar (L) | 2nd Premolar (L) | 1st Molar (L) | 2nd Molar (L) | 3rd Molar (L) | Central Incisor (R) | Lateral Incisor (R) | Canine (R) | 1st Premolar (R) | 2nd Premolar (R) | 1st Molar (R) | 2nd Molar (R) | 3rd Molar (R) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Metric | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Precision | 100% | 100% | 100% | 100% | 97.27% | 98.31% | 91.31% | 88.26% | 100% | 100% | 100% | 100% | 99.75% | 96.95% | 93.34% | 87.22% |
Recall | 100% | 100% | 100% | 99.75% | 98.31% | 98.31% | 94.01% | 89.29% | 100% | 96.33% | 100% | 99.75% | 100% | 97.27% | 94.27% | 86.38% |
F1-score | 100% | 100% | 100% | 99.87% | 97.79% | 98.31% | 92.64% | 88.77% | 100% | 98.13% | 100% | 99.88% | 99.87% | 97.11% | 93.80% | 86.70% |