Your browser doesn't support javascript.
loading
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.
Assuntos
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

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