A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1465-542X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival ; volume:22 ; number:1 ; day:28 ; month:1 ; year:2020 ; pages:1-10 ; date:12.2020
Breast cancer research ; 22, Heft 1 (28.1.2020), 1-10, 12.2020

Creator: Jaber, Mustafa I.
Song, Bing
Taylor, Clive
Vaske, Charles J.
Benz, Stephen C.
Rabizadeh, Shahrooz
Soon-Shiong, Patrick
Szeto, Christopher W.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13058-020-1248-3

URN: urn:nbn:de:101:1-2020042706534323196806

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:48 AM CEST

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Associated

Jaber, Mustafa I.
Song, Bing
Taylor, Clive
Vaske, Charles J.
Benz, Stephen C.
Rabizadeh, Shahrooz
Soon-Shiong, Patrick
Szeto, Christopher W.
SpringerLink (Online service)

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A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival

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Other Objects (12)

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A platform-independent AI tumor lineage and site (ATLAS) classifier

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