Phantom-based radiomics feature test-retest stability analysis on photon-counting detector CT
Radiomics image data analysis offers promising approaches in research but has not been implemented in clinical practice yet, partly due to the instability of many parameters. The aim of this study is to evaluate the stability of radiomics analysis on phantom scans with photon-counting detector CT (P...
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| Hauptverfasser: | , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
July 2023
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| In: |
European radiology
Year: 2023, Jahrgang: 33, Heft: 7, Pages: 4905-4914 |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-023-09460-z |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00330-023-09460-z Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00330-023-09460-z 
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| Verfasserangaben: | Alexander Hertel, Hishan Tharmaseelan, Lukas T. Rotkopf, Dominik Nörenberg, Philipp Riffel, Konstantin Nikolaou, Jakob Weiss, Fabian Bamberg, Stefan O. Schoenberg, Matthias F. Froelich, Isabelle Ayx |
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| 520 | |a Radiomics image data analysis offers promising approaches in research but has not been implemented in clinical practice yet, partly due to the instability of many parameters. The aim of this study is to evaluate the stability of radiomics analysis on phantom scans with photon-counting detector CT (PCCT). | ||
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