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1 Ergebnisse
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A deep‐learning workflow to predict upper tract urothelial ..:
Angeloni, Miriam
;
van Doeveren, Thomas
;
Lindner, Sebastian
...
The Journal of Pathology: Clinical Research. 10 (2024) 2 - p. , 2024
Link:
https://doi.org/10.1002/2056-4538.12369
RT Journal T1
A deep‐learning workflow to predict upper tract urothelial carcinoma protein‐based subtypes from H&E slides supporting the prioritization of patients for molecular testing
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_2056-4538.12369&Exemplar=1&LAN=DE A1 Angeloni, Miriam A1 van Doeveren, Thomas A1 Lindner, Sebastian A1 Volland, Patrick A1 Schmelmer, Jorina A1 Foersch, Sebastian A1 Matek, Christian A1 Stoehr, Robert A1 Geppert, Carol I A1 Heers, Hendrik A1 Wach, Sven A1 Taubert, Helge A1 Sikic, Danijel A1 Wullich, Bernd A1 van Leenders, Geert JLH A1 Zaburdaev, Vasily A1 Eckstein, Markus A1 Hartmann, Arndt A1 Boormans, Joost L A1 Ferrazzi, Fulvia A1 Bahlinger, Veronika PB Wiley YR 2024 SN 2056-4538 SN 2056-4538 JF The Journal of Pathology: Clinical Research VO 10 IS 2 LK http://dx.doi.org/https://doi.org/10.1002/2056-4538.12369 DO https://doi.org/10.1002/2056-4538.12369 SF ELIB - SuUB Bremen
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