Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer
- 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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Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer ; volume:15 ; number:1 ; day:22 ; month:5 ; year:2024 ; pages:1-14 ; date:12.2024
Nature Communications ; 15, Heft 1 (22.5.2024), 1-14, 12.2024
- Urheber
-
Wang, Jue
Yu, Yunfang
Tan, Yujie
Wan, Huan
Zheng, Nafen
He, Zifan
Mao, Luhui
Ren, Wei
Chen, Kai
Lin, Zhen
He, Gui
Chen, Yongjian
Chen, Ruichao
Xu, Hui
Liu, Kai
Yao, Qinyue
Fu, Sha
Song, Yang
Chen, Qingyu
Zuo, Lina
Wei, Liya
Wang, Jin
Ouyang, Nengtai
Yao, Herui
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-024-48705-3
- URN
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urn:nbn:de:101:1-2408011356285.802356482351
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
Datenpartner
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Beteiligte
- Wang, Jue
- Yu, Yunfang
- Tan, Yujie
- Wan, Huan
- Zheng, Nafen
- He, Zifan
- Mao, Luhui
- Ren, Wei
- Chen, Kai
- Lin, Zhen
- He, Gui
- Chen, Yongjian
- Chen, Ruichao
- Xu, Hui
- Liu, Kai
- Yao, Qinyue
- Fu, Sha
- Song, Yang
- Chen, Qingyu
- Zuo, Lina
- Wei, Liya
- Wang, Jin
- Ouyang, Nengtai
- Yao, Herui
- SpringerLink (Online service)
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