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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Bibliographic Details
Published in:Dentomaxillofac Radiol
Main Authors: Kuwana, Ryosuke, Ariji, Yoshiko, Fukuda, Motoki, Kise, Yoshitaka, Nozawa, Michihito, Kuwada, Chiaki, Muramatsu, Chisako, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro
Format: Artigo
Language:Inglês
Published: The British Institute of Radiology. 2021
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Research Article
Online Access: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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