Automatic soft‐tissue analysis on orthodontic frontal and lateral facial photographs based on deep learning
Qiao Chang,
Yuxing Bai,
Shaofeng Wang
et al.
Abstract:BackgroundTo establish the automatic soft‐tissue analysis model based on deep learning that performs landmark detection and measurement calculations on orthodontic facial photographs to achieve a more comprehensive quantitative evaluation of soft tissues.MethodsA total of 578 frontal photographs and 450 lateral photographs of orthodontic patients were collected to construct datasets. All images were manually annotated by two orthodontists with 43 frontal‐image landmarks and 17 lateral‐image landmarks. Automati… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.