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 |
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Involved |
Simon Bernatz (Verfasser)
Jörg Ackermann (Verfasser) Philipp Mandel (Verfasser) Benjamin Kaltenbach (Verfasser)
Yauheniya Zhdanovich (Verfasser)
Patrick Nikolaus Harter (Verfasser) Claudia Döring (Verfasser) Renate Hammerstingl (Verfasser) Boris Bodelle (Verfasser) Kevin Smith (Verfasser) Andreas Bucher (Verfasser) Moritz Hans Ernst Albrecht (Verfasser) Nicolas Rosbach (Verfasser) Lajos Maximilian Basten (Verfasser) Ibrahim Yel (Verfasser) Mike Wenzel (Verfasser) Katrin Bankov (Verfasser) Ina Koch (Verfasser) Felix Chun (Verfasser) Jens Köllermann (Verfasser) Peter Johannes Wild (Verfasser) Thomas J. Vogl (Verfasser) |
Published |
Frankfurt am Main: Universitätsbibliothek Johann Christian Senckenberg |
Extent |
Online-Ressource |
Language |
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Country |
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Topic |
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Subject |
Prostate cancer |
DDC notation |
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Persistent identifier |
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Further information |
In: European radiology 30.2020, 12, S. 6757-6769, doi: 10.1007/s00330-020-07064-5, ISSN 1432-1084 |
Record ID |
125951725X |
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