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).

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Bibliographic Details
Main Authors:	Peters, Alan (Author) , Solomon, Justin B. (Author) , Stackelberg, Oyunbileg von (Author) , Samei, Ehsan (Author) , Alsaihati, Njood (Author) , Valenzuela Zea, Waldo (Author) , Debic, Manuel (Author) , Heidt, Christian (Author) , Huber, Adrian T. (Author) , Christ, Andreas (Author) , Heverhagen, Johannes T. (Author) , Kauczor, Hans-Ulrich (Author) , Heußel, Claus Peter (Author) , Ebner, Lukas (Author) , Wielpütz, Mark Oliver (Author)
Format:	Article (Journal)
Language:	English
Published:	23 October 2023
In:	European radiology Year: 2024, Volume: 34, Issue: 5, Pages: 3444-3452
ISSN:	1432-1084
DOI:	10.1007/s00330-023-10348-1
Online Access:	Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00330-023-10348-1
Author Notes:	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

Description
Summary:	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).
Item Description:	Gesehen am 06.12.2023
Physical Description:	Online Resource
ISSN:	1432-1084
DOI:	10.1007/s00330-023-10348-1