DEEP LEARNING ALGORITHMS HAVE HIGH ACCURACY FOR AUTOMATED LANDMARK DETECTION ON 2D LATERAL CEPHALOGRAMS.
J Evid Based Dent Pract
; 22(4): 101798, 2022 Dec.
Article
em En
| MEDLINE
| ID: mdl-36494109
ABSTRACT
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION Deep learning for cephalometric landmark detection systematic review and meta-analysis. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, Demarco F, Krois J. Clin Oral Investig. 2021 Jul;25(7)4299-4309. SOURCE OF FUNDING:
This study was self-funded by the authors and their institutions. TYPE OF STUDY/DESIGN:
Systematic review and meta-analysis.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Aprendizado Profundo
Tipo de estudo:
Diagnostic_studies
/
Systematic_reviews
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article