Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules
The purpose of this study was to determine the influence of dose reduction on a commercially available lung cancer prediction convolutional neuronal network (LCP-CNN).
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
23 October 2023
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| In: |
European radiology
Year: 2024, Jahrgang: 34, Heft: 5, Pages: 3444-3452 |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-023-10348-1 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00330-023-10348-1
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| Verfasserangaben: | Alan A. Peters, Justin B. Solomon, Oyunbileg von Stackelberg, Ehsan Samei, Njood Alsaihati, Waldo Valenzuela, Manuel Debic, Christian Heidt, Adrian T. Huber, Andreas Christe, Johannes T. Heverhagen, Hans-Ulrich Kauczor, Claus P. Heussel, Lukas Ebner and Mark O. Wielpütz |
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| 520 | |a The purpose of this study was to determine the influence of dose reduction on a commercially available lung cancer prediction convolutional neuronal network (LCP-CNN). | ||
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