*Result*: A preliminary study on machine learning-based evaluation of static and dynamic FET-PET for the detection of pseudoprogression in patients with IDH-wildtype glioblastoma
*Title*:
A preliminary study on machine learning-based evaluation of static and dynamic FET-PET for the detection of pseudoprogression in patients with IDH-wildtype glioblastoma / Sied Kebir, Teresa Schmidt, Matthias Weber, Lazaros Lazaridis, Norbert Galldiks, Karl-Josef Langen, Christoph Kleinschnitz, Elke Hattingen, Ulrich Herrlinger, Philipp Lohmann, Martin Glas
*Author/editor-in-chief*:
Kebir, Sied (Verfasser) ; Schmidt, Teresa Maria (Verfasser) ; Weber, Matthias (Verfasser) ; Lazaridis, Lazaros (Verfasser) ; Galldiks, Norbert (Verfasser) ; Langen, Karl-Josef (Verfasser) ; Kleinschnitz, Christoph (Verfasser) ; Hattingen, Elke (Verfasser) ; Herrlinger, Ulrich (Verfasser) ; Lohmann, Philipp (Verfasser) ; Glas, Martin (Verfasser)
*Published in*:
Cancers. - Basel : MDPI, 2009-. - Online-Ressource. - ISSN 2072-6694. - Band 11 (2020), Artikel-ID: 3080
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*Distribution*:
Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg
*Format*:
*Language*:
*eng*
*DOI*:
10.3390/cancers12113080