A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images ; volume:21 ; number:1 ; day:17 ; month:10 ; year:2023 ; pages:1-12 ; date:12.2023
Journal of translational medicine ; 21, Heft 1 (17.10.2023), 1-12, 12.2023

Creator: Li, Yan-Jun
Chou, Hsin-Hung
Lin, Peng-Chan
Shen, Meng-Ru
Hsieh, Sun-Yuan

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12967-023-04530-8

URN: urn:nbn:de:101:1-2024021210143020255957

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

Last update: 15.08.2025, 7:28 AM CEST

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Li, Yan-Jun
Chou, Hsin-Hung
Lin, Peng-Chan
Shen, Meng-Ru
Hsieh, Sun-Yuan
SpringerLink (Online service)

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A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images

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