Usefulness of a deep learning system for diagnosing Sjögren’s syndrome using ultrasonography images

OBJECTIVES: We evaluated the diagnostic performance of a deep learning system for the detection of Sjögren’s syndrome (SjS) in ultrasonography (US) images, and compared it with the performance of inexperienced radiologists. METHODS: 100 patients with a confirmed diagnosis of SjS according to both th...

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Detalhes bibliográficos
Publicado no:Dentomaxillofac Radiol
Main Authors: Kise, Yoshitaka, Shimizu, Mayumi, Ikeda, Haruka, Fujii, Takeshi, Kuwada, Chiaki, Nishiyama, Masako, Funakoshi, Takuma, Ariji, Yoshiko, Fujita, Hiroshi, Katsumata, Akitoshi, Yoshiura, Kazunori, Ariji, Eiichiro
Formato: Artigo
Idioma:Inglês
Publicado em: The British Institute of Radiology. 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7068075/
https://ncbi.nlm.nih.gov/pubmed/31804146
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/dmfr.20190348
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