Deep learning for cephalometric landmark detection: systematic review and meta-analysis

F Schwendicke, A Chaurasia, L Arsiwala, JH Lee… - Clinical oral …, 2021 - Springer
Objectives Deep learning (DL) has been increasingly employed for automated landmark
detection, eg, for cephalometric purposes. We performed a systematic review and meta …

Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

JH Lee, HJ Yu, M Kim, JW Kim, J Choi - BMC oral health, 2020 - Springer
Background Despite the integral role of cephalometric analysis in orthodontics, there have
been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing …