Research Article
[Retracted] Automation of Cephalometrics Using Machine Learning Methods
Table 1
Coefficient of successful detections by landmark. Basic autoencoder model trained on Set 1.
| | Training set | Test set | 2 mm | 2.5 mm | 3 mm | 4 mm | 2 mm | 2.5 mm | 3 mm | 4 mm |
| L1.00 | 0.96 | 0.98 | 1 | 1 | 0.85 | 0.9 | 0.93 | 0.93 | L2.00 | 0.94 | 0.96 | 0.99 | 0.99 | 0.76 | 0.8 | 0.83 | 0.9 | L3.00 | 0.98 | 0.99 | 1 | 1 | 0.76 | 0.76 | 0.8 | 0.9 | L4.00 | 0.98 | 0.98 | 0.98 | 0.98 | 0.15 | 0.2 | 0.24 | 0.32 | L5.00 | 0.7 | 0.79 | 0.85 | 0.91 | 0.29 | 0.44 | 0.46 | 0.51 | L6.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | L7.00 | 0.95 | 0.97 | 0.98 | 0.98 | 0.66 | 0.71 | 0.8 | 0.83 | Average | 0.93 | 0.95 | 0.97 | 0.98 | 0.64 | 0.69 | 0.72 | 0.77 |
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