Automatic detection and visualization of temporomandibular joint effusion with deep neural network

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...

Full description

Saved in:
Bibliographic Details
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:
Temporomandibular joint
Temporomandibular disorder
Effusion
Artificial intelligence
Convolutional neural network
Deep learning
Online Access:https://doi.org/10.1038/s41598-024-69848-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-69848-9

Similar Items