Cargando…
Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis
OBJECTIVES: The aim of the present systematic review and meta-analysis is to assess the accuracy of automated landmarking using deep learning in comparison with manual tracing for cephalometric analysis of 3D medical images. METHODS: PubMed/Medline, IEEE Xplore, Scopus and ArXiv electronic databases...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Milan
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181977/ https://www.ncbi.nlm.nih.gov/pubmed/37093337 http://dx.doi.org/10.1007/s11547-023-01629-2 |