Deep learning can predict lymph node status directly from histology in colorectal cancer
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: 10.1016/j.ejca.2021.08.039
- Event
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Veröffentlichung
- (where)
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Aachen
- (who)
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Universitätsbibliothek der RWTH Aachen
- (when)
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2021
- DOI
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10.18154/RWTH-CONV-248517
- URN
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urn:nbn:de:101:1-2023102801383480274359
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:45 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kiehl, Lennard
- Kuntz, Sara
- Höhn, Julia
- Jutzi, Tanja
- Krieghoff-Henning, Eva
- Kather, Jakob Nikolas
- Holland-Letz, Tim
- Kopp-Schneider, Annette
- Chang-Claude, Jenny
- Brobeil, Alexander
- Kalle, Christof von
- Fröhling, Stefan
- Alwers, Elizabeth
- Brenner, Hermann
- Hoffmeister, Michael
- Brinker, Titus Josef
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2021
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Clinical Pathology: Normal lymph node
Clinical Pathology: Malignant lymph node
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