Deep learning for cephalometric landmark detection: systematic review and meta-analysis

OBJECTIVES: Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes. We performed a systematic review and meta-analysis to assess the accuracy and underlying evidence for DL for cephalometric landmark detection on 2-D and 3-D radiographs....

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Detalles Bibliográficos
Autores principales: Schwendicke, Falk, Chaurasia, Akhilanand, Arsiwala, Lubaina, Lee, Jae-Hong, Elhennawy, Karim, Jost-Brinkmann, Paul-Georg, Demarco, Flavio, Krois, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310492/
https://www.ncbi.nlm.nih.gov/pubmed/34046742
http://dx.doi.org/10.1007/s00784-021-03990-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310492/
https://www.ncbi.nlm.nih.gov/pubmed/34046742
http://dx.doi.org/10.1007/s00784-021-03990-w

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