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Open access Sep 2026

Comparing Deep Learning Models for Lung Nodule Detection on Photon-Counting CT Images in a Non-Screening Setting

Background: Comprehensive evaluations of lung nodule detection methods remain limited, particularly regarding data from clinical routine, novel photon-counting CT (PCCT) technology, and the comparison of academic and commercial models. Materials and Methods: This retrospective study collected 1860 routine PCCT scans ac...

L. Thieme, Eike Petersen, K. Geissler et al. · 0 citations
Sep 2026

Quantitative Comparison of Virtual and True Noncontrast Lung Images in Photon-counting CT: Global and Regional Attenuation Assessment.

Background Use of virtual noncontrast (VNC) images from photon-counting CT (PCCT) may reduce radiation dose and support quantitative lung analysis by obviating the need for separate true noncontrast (TNC) acquisitions. Their accuracy for lung densitometry, however, has not been systematically assessed. Purpose To evalu...

Max L. Bodlien, S. Scharm, A. Hunkemöller et al. · 1 citation

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