Preliminary study on the application of deep learning system to diagnosis of Sjögren's syndrome on CT images

OBJECTIVES: This study estimated the diagnostic performance of a deep learning system for detection of Sjögren's syndrome (SjS) on CT, and compared it with the performance of radiologists. METHODS: CT images were assessed from 25 patients confirmed to have SjS based on the both Japanese criteri...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Dentomaxillofac Radiol
Hauptverfasser: Kise, Yoshitaka, Ikeda, Haruka, Fujii, Takeshi, Fukuda, Motoki, Ariji, Yoshiko, Fujita, Hiroshi, Katsumata, Akitoshi, Ariji, Eiichiro
Format: Artigo
Sprache:Inglês
Veröffentlicht: The British Institute of Radiology. 2019
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6747436/
https://ncbi.nlm.nih.gov/pubmed/31075042
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/dmfr.20190019
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