학술논문
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.
Document Type
Article
Author
Angeloni, Miriam; van Doeveren, Thomas; Lindner, Sebastian; Volland, Patrick; Schmelmer, Jorina; Foersch, Sebastian; Matek, Christian; Stoehr, Robert; Geppert, Carol I; Heers, Hendrik; Wach, Sven; Taubert, Helge; Sikic, Danijel; Wullich, Bernd; van Leenders, Geert JLH; Zaburdaev, Vasily; Eckstein, Markus; Hartmann, Arndt; Boormans, Joost L; Ferrazzi, Fulvia
Source
Journal of Pathology: Clinical Research; Mar2024, Vol. 10 Issue 2, p1-14, 14p
Subject
Language
ISSN
20564538
Abstract
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