Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier ; volume:13 ; number:1 ; day:19 ; month:8 ; year:2023 ; pages:1-13 ; date:12.2023
Scientific reports ; 13, Heft 1 (19.8.2023), 1-13, 12.2023
- Urheber
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Jang, Junbong
Kim, Young H.
Westgate, Brian
Zong, Yang
Hallinan, Caleb
Akalin, Ali
Lee, Kwonmoo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-40652-1
- URN
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urn:nbn:de:101:1-2024013114145394388120
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:34 MESZ
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Beteiligte
- Jang, Junbong
- Kim, Young H.
- Westgate, Brian
- Zong, Yang
- Hallinan, Caleb
- Akalin, Ali
- Lee, Kwonmoo
- SpringerLink (Online service)
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