Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors.
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| Title: | Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors. |
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| Authors: | von Schacky CE; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany. c.schacky@tum.de., Wilhelm NJ; Department for Orthopedics and Orthopedic Sports Medicine, Ismaninger Strasse 22, 81675, Munich, Germany., Schäfer VS; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Leonhardt Y; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Jung M; Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany., Jungmann PM; Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany., Russe MF; Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany., Foreman SC; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Gassert FG; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Gassert FT; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Schwaiger BJ; Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Munich, Germany., Mogler C; Institute of Pathology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Knebel C; Department for Orthopedics and Orthopedic Sports Medicine, Ismaninger Strasse 22, 81675, Munich, Germany., von Eisenhart-Rothe R; Department for Orthopedics and Orthopedic Sports Medicine, Ismaninger Strasse 22, 81675, Munich, Germany., Makowski MR; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Woertler K; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany., Burgkart R; Department for Orthopedics and Orthopedic Sports Medicine, Ismaninger Strasse 22, 81675, Munich, Germany., Gersing AS; Department of Radiology, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Strasse 22, 81675, Munich, Germany.; Department of Neuroradiology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany. |
| Source: | European radiology [Eur Radiol] 2022 Sep; Vol. 32 (9), pp. 6247-6257. Date of Electronic Publication: 2022 Apr 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-022-08764-w |
