• Media type: E-Article
  • Title: Performance variability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets
  • Contributor: Gresser, Eva; Schachtner, Balthasar; Stüber, Anna Theresa; Solyanik, Olga; Schreier, Andrea; Huber, Thomas; Froelich, Matthias Frank; Magistro, Giuseppe; Kretschmer, Alexander; Stief, Christian; Ricke, Jens; Ingrisch, Michael; Nörenberg, Dominik
  • imprint: AME Publishing Company, 2022
  • Published in: Quantitative Imaging in Medicine and Surgery, 12 (2022) 11, Seite 4990-5003
  • Language: Not determined
  • DOI: 10.21037/qims-22-265
  • ISSN: 2223-4292; 2223-4306
  • Keywords: Radiology, Nuclear Medicine and imaging
  • Origination:
  • Footnote:
  • Access State: Open Access