Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides
- 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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Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides ; volume:15 ; number:1 ; day:11 ; month:6 ; year:2024 ; pages:1-24 ; date:12.2024
Nature Communications ; 15, Heft 1 (11.6.2024), 1-24, 12.2024
- Creator
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Claudio Quiros, Adalberto
Coudray, Nicolas
Yeaton, Anna
Yang, Xinyu
Liu, Bojing
Le, Hortense
Chiriboga, Luis
Karimkhan, Afreen
Narula, Navneet
Moore, David A.
Park, Christopher Y.
Pass, Harvey
Moreira, Andre L.
Quesne, John Le
Tsirigos, Aristotelis
Yuan, Ke
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41467-024-48666-7
- URN
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urn:nbn:de:101:1-2408090923058.074845805972
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:49 AM CEST
Data provider
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Associated
- Claudio Quiros, Adalberto
- Coudray, Nicolas
- Yeaton, Anna
- Yang, Xinyu
- Liu, Bojing
- Le, Hortense
- Chiriboga, Luis
- Karimkhan, Afreen
- Narula, Navneet
- Moore, David A.
- Park, Christopher Y.
- Pass, Harvey
- Moreira, Andre L.
- Quesne, John Le
- Tsirigos, Aristotelis
- Yuan, Ke
- SpringerLink (Online service)
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