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
一种基于深度学习的工作流程，用于从H&E染色切片中预测上尿路尿路上皮癌的蛋白质亚型，从而支持对患者进行分子检测的优先排序。
期刊:Journal of Pathology Clinical Research
影响因子:3.7
doi:10.1002/2056-4538.12369
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; Bahlinger, Veronika
