Assessment of uncertainty estimation and distillation for reliable 3D dental mesh segmentation in orthodontics
The integration of deep learning into computer-aided orthodontic treatment planning has enabled automated tasks such as tooth segmentation from 3D dental models. However, the reliability of these systems remains a concern due to their black-box nature and tendency toward overconfident predictions. In this work, we pres...