2022
DOI: 10.1038/s41598-022-23445-w
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Detection of mandibular fractures on panoramic radiographs using deep learning

Abstract: Mandibular fractures are among the most frequent facial traumas in oral and maxillofacial surgery, accounting for 57% of cases. An accurate diagnosis and appropriate treatment plan are vital in achieving optimal re-establishment of occlusion, function and facial aesthetics. This study aims to detect mandibular fractures on panoramic radiographs (PR) automatically. 1624 PR with fractures were manually annotated and labelled as a reference. A deep learning approach based on Faster R-CNN and Swin-Transformer was … Show more

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Cited by 23 publications
(3 citation statements)
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References 19 publications
(40 reference statements)
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“…Overall, there exists a connection and mutual enhancement between AI and radiomics. Deep learning models utilize both panoramic radiography and CT scans to identify mandibular fractures [2,[33][34][35][36][37]. According to the study by Wang et al, the CNN model achieved an accuracy ranging from 93.87% to 98.28% in detecting mandibular fractures across nine subregions [34].…”
Section: Discussionmentioning
confidence: 99%
“…Overall, there exists a connection and mutual enhancement between AI and radiomics. Deep learning models utilize both panoramic radiography and CT scans to identify mandibular fractures [2,[33][34][35][36][37]. According to the study by Wang et al, the CNN model achieved an accuracy ranging from 93.87% to 98.28% in detecting mandibular fractures across nine subregions [34].…”
Section: Discussionmentioning
confidence: 99%
“…. Mandibular fractures Vinayahalingam et al (2022) investigated the automated detection of mandibular fractures on panoramic radiographs (PRs) with the use of Faster R-CNN, where the Swin-Transformer (Liu et al, 2021) was implemented as a backbone of the network. The data consisted of 6,404 PRs obtained from 5,621 patients, in which 1,624 PRs were with fractures and 4,780 PRs were without fractures.…”
Section: Frontal-bone Fracturesmentioning
confidence: 99%
“…The Le Fort classification was commonly adopted method for describing maxillary fractures. It is reserved to describe the precise occurrence according the initial description (Vujcich and Gebauer, 2018). Because of the complex structure of the facial bone framework, there are many other types of bones found in the deeper structure of the face (Facial Fractures, 2020).…”
Section: Introductionmentioning
confidence: 99%