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
-
Published:2023-07
Issue:5
Volume:35
Page:487-497
-
ISSN:1013-9052
-
Container-title:The Saudi Dental Journal
-
language:en
-
Short-container-title:The Saudi Dental Journal
Author:
Londono Jimmy,
Ghasemi Shohreh,
Hussain Shah Altaf,
Fahimipour Amir,
Ghadimi Niloofar,
Hashemi Sara,
Khurshid Zohaib,
Dashti MahmoodORCID
Subject
General Dentistry
Reference56 articles.
1. The accuracy of linear and angular measurements in the different regions of the jaw in cone-beam computed tomography views;Abdinian;Dental Hypotheses.,2017
2. Automation of Cephalometrics Using Machine Learning Methods;Alshamrani;Comput. Intell. Neurosci.,2022
3. Asiri, S.N., Tadlock, L.P., Schneiderman, E., et al., Applications of artificial intelligence and machine learning in orthodontics. APOS Trends in Orthodontics. 10, https://doi.org/10.25259/APOS_117_2019.
4. The validity of machine learning procedures in orthodontics: what is still missing?;Auconi;J Pers Med.,2022
5. Applications of artificial intelligence and machine learning in orthodontics: a scoping review;Bichu;Prog. Orthod.,2021
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献