Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?
Abstract Background To evaluate the techniques used for the automatic digitization of cephalograms using artificial intelligence algorithms, highlighting the strengths and weaknesses of each one and reviewing the percentage of success in localizing each cephalometric point. Methods Lateral cephalogr...
Main Authors: | Huayu Ye, Zixuan Cheng, Nicha Ungvijanpunya, Wenjing Chen, Li Cao, Yongchao Gou |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-07-01
|
Series: | BMC Oral Health |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12903-023-03188-4 |
Similar Items
-
Automatic recognition of cephalometric landmarks via multi-scale sampling strategy
by: Congyi Zhao, et al.
Published: (2023-06-01) -
Comparative Evaluation of Conventional and OnyxCeph™ Dental Software Measurements on Cephalometric Radiography
by: Elif İzgi, et al.
Published: (2019-06-01) -
A hard tissue cephalometric comparative study between hand tracing and computerized tracing
by: Ramachandra Prabhakar, et al.
Published: (2014-01-01) -
Comparison between cephalometric measurements using digital manual and web-based artificial intelligence cephalometric tracing software
by: Gökhan ÇOBAN, et al.
Published: (2022-08-01) -
Landmark Identıfıcatıon Errors And Reasons In Cephalometrıc Analysıs
by: Türker Sandallı, et al.
Published: (1988-07-01)