AI-based histopathology image analysis reveals a distinct subset of endometrial cancers

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dc.contributor.author Kommoss, Stefan
dc.date.accessioned 2024-12-17T10:52:39Z
dc.date.available 2024-12-17T10:52:39Z
dc.date.issued 2024
dc.identifier.issn 2041-1723
dc.identifier.uri http://hdl.handle.net/10900/159693
dc.language.iso en de_DE
dc.publisher Berlin : Nature Portfolio de_DE
dc.relation.uri http://dx.doi.org/10.1038/s41467-024-49017-2 de_DE
dc.subject.ddc 500 de_DE
dc.title AI-based histopathology image analysis reveals a distinct subset of endometrial cancers de_DE
dc.type Article de_DE
utue.quellen.id 20241001000000_01003
utue.personen.roh Darbandsari, Amirali
utue.personen.roh Farahani, Hossein
utue.personen.roh Asadi, Maryam
utue.personen.roh Wiens, Matthew
utue.personen.roh Cochrane, Dawn
utue.personen.roh Mirabadi, Ali Khajegili
utue.personen.roh Jamieson, Amy
utue.personen.roh Farnell, David
utue.personen.roh Ahmadvand, Pouya
utue.personen.roh Douglas, Maxwell
utue.personen.roh Leung, Samuel
utue.personen.roh Abolmaesumi, Purang
utue.personen.roh Jones, Steven J. M.
utue.personen.roh Talhouk, Aline
utue.personen.roh Kommoss, Stefan
utue.personen.roh Gilks, C. Blake
utue.personen.roh Huntsman, David G.
utue.personen.roh Singh, Naveena
utue.personen.roh McAlpine, Jessica N.
utue.personen.roh Bashashati, Ali
dcterms.isPartOf.ZSTitelID Nature Communications de_DE
dcterms.isPartOf.ZS-Issue Article 4973 de_DE
dcterms.isPartOf.ZS-Volume 15 (1) de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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