Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis.
Marco SerafinBenedetta BaldiniFederico CabitzaGianpaolo CarrafielloGiuseppe BaselliMassimo Del FabbroChiarella SforzaAlberto CaprioglioGianluca Martino TartagliaPublished in: La Radiologia medica (2023)
Deep learning algorithms showed an excellent accuracy for automated 3D cephalometric landmarking. In the last two years promising algorithms have been developed and improvements in landmarks annotation accuracy have been done.