Performance variability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets - Gresser, Eva Kristina; Schachtner, Balthasar; Stüber, Anna Theresa; Solyanik, Olga; Schreier, Andrea; Huber, Thomas; Froelich, Matthias F.; Magistro, Giuseppe; Kretschmer, Alexander; Stief, Christian; Ricke, Jens; Ingrisch, Michael; et al. (Quantitative imaging in medicine and surgery, 2022)
Gesehen am 24.06.2024