A novel assessment of whole-mount Gleason grading in prostate cancer to identify candidates for radical prostatectomy: a machine learning-based multiomics study
基于机器学习的多组学研究:对前列腺癌全切片Gleason分级进行新型评估,以识别根治性前列腺切除术的候选患者
期刊:Theranostics
影响因子:13.3
doi:10.7150/thno.96921
Ning, Jing; Spielvogel, Clemens P; Haberl, David; Trachtova, Karolina; Stoiber, Stefan; Rasul, Sazan; Bystry, Vojtech; Wasinger, Gabriel; Baltzer, Pascal; Gurnhofer, Elisabeth; Timelthaler, Gerald; Schlederer, Michaela; Papp, Laszlo; Schachner, Helga; Helbich, Thomas; Hartenbach, Markus; Grubmüller, Bernhard; Shariat, Shahrokh F; Hacker, Marcus; Haug, Alexander; Kenner, Lukas