Automatic detection and visualization of temporomandibular joint effusion with deep neural network
Abstract This study investigated the usefulness of deep learning-based automatic detection of temporomandibular joint (TMJ) effusion using magnetic resonance imaging (MRI) in patients with temporomandibular disorder and whether the diagnostic accuracy of the model improved when patients’ clinical in...
Saved in:
| Main Authors: | Yeon-Hee Lee, Seonggwang Jeon, Jong-Hyun Won, Q.-Schick Auh, Yung-Kyun Noh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-69848-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Is arthrocentesis effective for temporomandibular joint disorders?
by: Eduardo Grossmann, et al.
Published: (2025-08-01) -
Author Correction: Automatic detection and visualization of temporomandibular joint effusion with deep neural network
by: Yeon-Hee Lee, et al.
Published: (2024-12-01) -
Association between generalized joint hypermobility, temporomandibular joint hypertranslation and temporomandibular disorders: a scoping review
by: Samilla Pontes BRAGA, et al.
Published: (2025-03-01) -
Surgery of temporomandibular joint under local anaesthesia
by: Gajiwala Kalpesh
Published: (2008-01-01) -
Surgery of temporomandibular joint under local anaesthesia
by: Gajiwala J. Kalpesh
Published: (2008-07-01)