Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification
- 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
-
Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification ; volume:7 ; number:1 ; day:6 ; month:5 ; year:2024 ; pages:1-16 ; date:12.2024
Visual computing for industry, biomedicine, and art ; 7, Heft 1 (6.5.2024), 1-16, 12.2024
- Urheber
-
Gao, Yun
Fu, Junhu
Wang, Yuanyuan
Guo, Yi
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s42492-024-00162-x
- URN
-
urn:nbn:de:101:1-2407152120124.980094300740
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
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Beteiligte
- Gao, Yun
- Fu, Junhu
- Wang, Yuanyuan
- Guo, Yi
- SpringerLink (Online service)
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