Potential of a machine-learning model for dose optimization in CT quality assurance.

Objectives: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization potential for quality assurance in a retrospective, cross-sectional study.Methods: Three thousand one hundred ninety-nine CT chest examinations were used for training and testing of the feed-forward,...

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Publicado en:	European Radiology Vol. 29; no. 7; pp. 3705 - 3714
Autores principales:	Meineke, Axel, Rubbert, Christian, Sawicki, Lino M., Thomas, Christoph, Klosterkemper, Yan, Appel, Elisabeth, Caspers, Julian, Bethge, Oliver T., Kröpil, Patric, Antoch, Gerald, Boos, Johannes
Formato:	Journal Article
Publicado:	Springer Nature Jul2019
Acceso en línea:	Ver este registro en EBSCOhost