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

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. CT images were assessed from 25 patients confirmed to have SjS based on the both Japanese criteria and American-Europe...

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Veröffentlicht in:	Dento-maxillo-facial radiology 2019-09, Vol.48 (6), p.20190019-20190019
Hauptverfasser:	Kise, Yoshitaka, Ikeda, Haruka, Fujii, Takeshi, Fukuda, Motoki, Ariji, Yoshiko, Fujita, Hiroshi, Katsumata, Akitoshi, Ariji, Eiichiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep Learning Humans Parotid Gland Sensitivity and Specificity Sjogren's Syndrome - diagnostic imaging Tomography, X-Ray Computed
Online-Zugang:	Volltext
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