Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2407

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer ; volume:22 ; number:1 ; day:21 ; month:9 ; year:2022 ; pages:1-18 ; date:12.2022
BMC cancer ; 22, Heft 1 (21.9.2022), 1-18, 12.2022

Creator: Rączkowski, Łukasz
Paśnik, Iwona
Kukiełka, Michał
Nicoś, Marcin
Budzinska, Magdalena A.
Kucharczyk, Tomasz
Szumiło, Justyna
Krawczyk, Paweł
Crosetto, Nicola
Szczurek, Ewa

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12885-022-10081-w

URN: urn:nbn:de:101:1-2022120821005070451257

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

Last update: 15.08.2025, 7:37 AM CEST

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Associated

Rączkowski, Łukasz
Paśnik, Iwona
Kukiełka, Michał
Nicoś, Marcin
Budzinska, Magdalena A.
Kucharczyk, Tomasz
Szumiło, Justyna
Krawczyk, Paweł
Crosetto, Nicola
Szczurek, Ewa
SpringerLink (Online service)

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Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer

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