Table 3 Evaluation metrics of each classified stage in premolar and molar classification models using EfficientNet
From: Fully automated deep learning approach to dental development assessment in panoramic radiographs
Classified stages | Premolar | Molar | |||||
|---|---|---|---|---|---|---|---|
Recall (%) | Precision (%) | F1 score (%) | Recall (%) | Precision (%) | F1 score (%) | ||
A | 80.00 | 88.89 | 84.21 | 82.35 | 100.00 | 90.32 | |
B | 89.74 | 89.74 | 89.74 | 96.49 | 85.94 | 90.91 | |
C | 87.96 | 88.79 | 88.37 | 91.41 | 90.85 | 91.13 | |
D | 84.16 | 84.16 | 84.16 | 92.98 | 95.21 | 94.08 | |
E | 87.05 | 87.52 | 87.29 | 92.70 | 94.07 | 93.38 | |
F | 92.28 | 92.28 | 92.28 | 90.51 | 90.73 | 90.62 | |
G | 73.37 | 69.86 | 71.57 | 85.58 | 79.26 | 82.30 | |
H | 81.18 | 83.13 | 82.14 | 92.12 | 95.45 | 93.76 | |
Average | 84.47 | 85.55 | 84.97 | 90.52 | 91.44 | 90.81 | |