Automated detection of cephalometric landmarks using deep neural patchworks.
Julia Vera WeingartStefan SchlagerMarc Christian MetzgerLeonard Simon BrandenburgAnna HeinRainer SchmelzeisenFabian BambergSuam KimElias KellnerMarco ReisertMaximilian Frederik RussePublished in: Dento maxillo facial radiology (2023)
The DNP-algorithm was able to accurately identify cephalometric landmarks with mean errors <2 mm. This method could improve the workflow of cephalometric analysis in orthodontics and orthognathic surgery. Low training requirements while still accomplishing high precision make this method particularly promising for clinical use.