Cover Image

Performance of a deep learning reconstruction method on clinical chest-abdomen-pelvis scans from a dual-layer detector CT system

Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alte...

Saved in:
Bibliographic Details
Main Authors: Schuppert, Christopher (Author) , Rahn, Stefanie (Author) , Schnellbächer, Nikolas David (Author) , Bergner, Frank (Author) , Grass, Michael (Author) , Kauczor, Hans-Ulrich (Author) , Skornitzke, Stephan (Author) , Weber, Tim (Author) , Do, Thuy (Author)
Format: Article (Journal)
Language:English
Published: 2025 September
In: Tomography
Year: 2025, Volume: 11, Issue: 9, Pages: 1-12
ISSN:2379-139X
DOI:10.3390/tomography11090094
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.3390/tomography11090094
Verlag, kostenfrei, Volltext: https://www.mdpi.com/2379-139X/11/9/94
Get full text
Author Notes:Christopher Schuppert, Stefanie Rahn, Nikolas D. Schnellbächer, Frank Bergner, Michael Grass, Hans-Ulrich Kauczor, Stephan Skornitzke, Tim F. Weber and Thuy D. Do
Description
Summary:Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alte...
Item Description:Online veröffentlicht am 25. August 2025
Gesehen am 16.02.2026
Physical Description:Online Resource
ISSN:2379-139X
DOI:10.3390/tomography11090094

Similar Items