The application of artificial neural networks in the detection of mandibular fractures using panoramic radiography
Background: Panoramic radiography is a standard diagnostic imaging method for dentists. However, it is challenging to detect mandibular trauma and fractures in panoramic radiographs due to the superimposed facial skeleton structures. The objective of this study was to develop a deep learning algorit...
Main Authors: | Maryam Shahnavazi, Hosein Mohamadrahimi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2023-01-01
|
Series: | Dental Research Journal |
Subjects: | |
Online Access: | http://www.drjjournal.net/article.asp?issn=1735-3327;year=2023;volume=20;issue=1;spage=27;epage=27;aulast=Shahnavazi |
Similar Items
-
Quality comparison of direct digital panoramic radiography and computed radiography panoramic
by: Dariush Goodarzipour, et al.
Published: (2013-09-01) -
Accuracy of panoramic radiography and linear tomography in mandibular canal localization
by: Bashizadeh Fakhar H., et al.
Published: (2008-10-01) -
Assessment of anatomical variations of mandibular canal depicted in panoramic radiography
by: Nidhi Thakur, et al.
Published: (2021-01-01) -
Automatic Detection of Mandibular Fractures in Panoramic Radiographs Using Deep Learning
by: Dong-Min Son, et al.
Published: (2021-05-01) -
Evaluation of the position of mandibular third molar hidden teeth and its effect on second adjacent molar teeth in panoramic radiography in patients referring to Birjand Dental School in 2018-19
by: Hanieh Arjmand monfared, et al.
Published: (2020-09-01)