*Result*: Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features
*Title*:
Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features / Simon Bernatz, Jörg Ackermann, Philipp Mandel, Benjamin Kaltenbach, Yauheniya Zhdanovich, Patrick Nikolaus Harter, Claudia Döring, Renate Maria Hammerstingl, Boris Bodelle, Kevin Smith, Andreas Bucher, Moritz Albrecht, Nicolas Rosbach, Lajos Maximilian Basten, Ibrahim Yel, Mike Wenzel, Katrin Bankov, Ina Koch, Felix Chun, Jens Köllermann, Peter Johannes Wild, Thomas J. Vogl
*Author/editor-in-chief*:
Bernatz, Simon (Verfasser) ; Ackermann, Jörg (Verfasser); Mandel, Philipp (Verfasser) ; Kaltenbach, Benjamin (Verfasser) ; Zhdanovich, Yauheniya (Verfasser); Harter, Patrick Nikolaus (Verfasser) ; Döring, Claudia (Verfasser) ; Hammerstingl, Renate (Verfasser) ; Bodelle, Boris (Verfasser) ; Smith, Kevin (Verfasser); Bucher, Andreas (Verfasser) ; Albrecht, Moritz Hans Ernst (Verfasser) ; Rosbach, Nicolas (Verfasser) ; Basten, Lajos Maximilian (Verfasser) ; Yel, Ibrahim (Verfasser) ; Wenzel, Mike (Verfasser) ; Bankov, Katrin (Verfasser) ; Koch, Ina (Verfasser); Chun, Felix (Verfasser) ; Köllermann, Jens (Verfasser) ; Wild, Peter Johannes (Verfasser) ; Vogl, Thomas J. (Verfasser)
*Published in*:
European radiology. - Berlin ; Heidelberg : Springer, 1991-. - Online-Ressource. - ISSN 1432-1084. - Band 30, Heft 12 (2020), Seite 6757-6769
*show_all_articles*
*show_all_articles*
*Distribution*:
Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg
*Format*:
*Language*:
*eng*
*DOI*:
10.1007/s00330-020-07064-5
*oa_rights*:
Open Access
CC BY 4.0
CC BY 4.0