From: Prediction of orthognathic surgery plan from 3D cephalometric analysis via deep learning
Output variables | Validation set | Clinical test set | ||
---|---|---|---|---|
R2 Score | MAE(mm) | R2 Score | MAE(mm) | |
A-CP | 0.7274 | 1.0312 | 0.4645 | 1.2530 |
A-HP | 0.3354 | 1.1822 | 0.1858 | 1.1594 |
UI-CP | 0.7778 | 1.9016 | 0.4424 | 1.0810 |
UI-HP | 0.6354 | 1.5137 | 0.2256 | 1.2071 |
LI-CP | 0.8589 | 1.3247 | 0.8759 | 1.1614 |
LI-HP | 0.7176 | 1.2836 | 0.6118 | 1.1582 |
B-CP | 0.7801 | 2.4293 | 0.8558 | 1.4263 |
B-HP | 0.7023 | 1.2707 | 0.1924 | 1.6661 |
Pog-CP | 0.6123 | 1.1507 | 0.8911 | 1.7965 |
Pog-HP | 0.4542 | 1.0494 | 0.4147 | 1.5325 |