Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta-analysis

INTRODUCTION: Cephalometry is the study of skull measurements for clinical evaluation, diagnosis, and surgical planning. Machine learning (ML) algorithms have been used to accurately identify cephalometric landmarks and detect irregularities related to orthodontics and dentistry. ML-based cephalomet...

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Detalles Bibliográficos
Autores principales: Londono, Jimmy, Ghasemi, Shohreh, Hussain Shah, Altaf, Fahimipour, Amir, Ghadimi, Niloofar, Hashemi, Sara, Khurshid, Zohaib, Dashti, Mahmood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373073/
https://www.ncbi.nlm.nih.gov/pubmed/37520606
http://dx.doi.org/10.1016/j.sdentj.2023.05.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373073/
https://www.ncbi.nlm.nih.gov/pubmed/37520606
http://dx.doi.org/10.1016/j.sdentj.2023.05.014

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