Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
- 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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Slideflow: deep learning for digital histopathology with real-time whole-slide visualization ; volume:25 ; number:1 ; day:27 ; month:3 ; year:2024 ; pages:1-29 ; date:12.2024
BMC bioinformatics ; 25, Heft 1 (27.3.2024), 1-29, 12.2024
- Urheber
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Dolezal, James M.
Kochanny, Sara
Dyer, Emma
Ramesh, Siddhi
Srisuwananukorn, Andrew
Sacco, Matteo
Howard, Frederick M.
Li, Anran
Mohan, Prajval
Pearson, Alexander T.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12859-024-05758-x
- URN
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urn:nbn:de:101:1-2406130850282.339334304866
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.20242024, 13:27 MESZ
Datenpartner
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Beteiligte
- Dolezal, James M.
- Kochanny, Sara
- Dyer, Emma
- Ramesh, Siddhi
- Srisuwananukorn, Andrew
- Sacco, Matteo
- Howard, Frederick M.
- Li, Anran
- Mohan, Prajval
- Pearson, Alexander T.
- SpringerLink (Online service)
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