Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs

OBJECTIVE: The first aim of this study was to determine the performance of a deep learning object detection technique in the detection of maxillary sinuses on panoramic radiographs. The second aim was to clarify the performance in the classification of maxillary sinus lesions compared with healthy m...

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Bibliografische gegevens
Gepubliceerd in:Dentomaxillofac Radiol
Hoofdauteurs: Kuwana, Ryosuke, Ariji, Yoshiko, Fukuda, Motoki, Kise, Yoshitaka, Nozawa, Michihito, Kuwada, Chiaki, Muramatsu, Chisako, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The British Institute of Radiology. 2021
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Research Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7780831/
https://ncbi.nlm.nih.gov/pubmed/32618480
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/dmfr.20200171
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