Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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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
- Creator
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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.
- Contributor
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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
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- 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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