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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...
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| Veröffentlicht in: | Dentomaxillofac Radiol |
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| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
The British Institute of Radiology.
2019
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| Schlagworte: | |
| 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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