scholarly journals Panoramic radiography and patients with disability: a new simple breathing technique to reduce common airspace error

2022 ◽  
Author(s):  
Antonia M. Scott ◽  
Warren M. Reed
Keyword(s):  
Panoramic Radiography

Organ doses and subjective image quality of indirect digital panoramic radiography

2001 ◽  
Vol 30 (6) ◽  
pp. 308-313 ◽  
Author(s):  
F Gijbels ◽  
G Sanderink ◽  
C Bou Serhal ◽  
H Pauwels ◽  
R Jacobs
Keyword(s):  
Image Quality ◽  
Panoramic Radiography ◽  
Organ Doses ◽  
Subjective Image Quality ◽  
Digital Panoramic Radiography

Cleidocranial dysplasia: radiological appearances on dental panoramic radiography

1999 ◽  
Vol 28 (2) ◽  
pp. 89-97 ◽  
Author(s):  
C M McNamara ◽  
B C O'Riordan ◽  
M Blake ◽  
J R Sandy
Keyword(s):  
Panoramic Radiography ◽  
Cleidocranial Dysplasia

A clinical evaluation of some factors affecting image quality in panoramic radiography

1999 ◽  
Vol 29 (2) ◽  
pp. 81-84 ◽  
Author(s):  
G Kaeppler ◽  
D Axmann-Krcmar ◽  
I Reuter ◽  
J Meyle ◽  
G Gómez-Román
Keyword(s):  
Image Quality ◽  
Clinical Evaluation ◽  
Panoramic Radiography ◽  
Factors Affecting

scholarly journals Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chiaki Kuwada ◽  
Yoshiko Ariji ◽  
Yoshitaka Kise ◽  
Takuma Funakoshi ◽  
Motoki Fukuda ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cleft Palate ◽  
Panoramic Radiography ◽  
False Positive Rate ◽  
Normal Subjects ◽  
Learning System ◽  
Panoramic Radiographs ◽  
Positive Rate ◽  
Aided Diagnosis

AbstractAlthough panoramic radiography has a role in the examination of patients with cleft alveolus (CA), its appearances is sometimes difficult to interpret. The aims of this study were to develop a computer-aided diagnosis system for diagnosing the CA status on panoramic radiographs using a deep learning object detection technique with and without normal data in the learning process, to verify its performance in comparison to human observers, and to clarify some characteristic appearances probably related to the performance. The panoramic radiographs of 383 CA patients with cleft palate (CA with CP) or without cleft palate (CA only) and 210 patients without CA (normal) were used to create two models on the DetectNet. The models 1 and 2 were developed based on the data without and with normal subjects, respectively, to detect the CAs and classify them into with or without CP. The model 2 reduced the false positive rate (1/30) compared to the model 1 (12/30). The overall accuracy of Model 2 was higher than Model 1 and human observers. The model created in this study appeared to have the potential to detect and classify CAs on panoramic radiographs, and might be useful to assist the human observers.

Evaluation of osseous changes in dental panoramic radiography of thalassemia patients using mandibular indexes and fractal size analysis

2019 ◽  
Vol 36 (1) ◽  
pp. 18-24 ◽  
Author(s):  
Seval Bayrak ◽  
Duygu Göller Bulut ◽  
Kaan Orhan ◽  
Enver Alper Sinanoğlu ◽  
Emine Şebnem Kurşun Çakmak ◽  
...  
Keyword(s):  
Panoramic Radiography ◽  
Size Analysis ◽  
Osseous Changes ◽  
Fractal Size

scholarly journals Comparison of Panoramic Radiography and Cone-Beam Computed Tomography for the Detection of Tonsilloliths

2019 ◽  
Vol 29 (3) ◽  
pp. 279-284 ◽  
Author(s):  
Melih Ozdede ◽  
Gulsun Akay ◽  
Ozge Karadag ◽  
Ilkay Peker
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Panoramic Radiography ◽  
Cone Beam

Updated quality assurance self-assessment exercise in intraoral and panoramic radiography

2000 ◽  
Vol 89 (3) ◽  
pp. 369-374 ◽  
Author(s):  
Arthur D. Goren ◽  
R.Curtis Lundeen ◽  
S.Thomas Deahl ◽  
Koji Hashimoto ◽  
Stanley F. Kapa ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Panoramic Radiography ◽  
Self Assessment
Sign in / Sign up

Export Citation Format

Share Document