Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions
Purpose: To compare the impact of a deep-learning image reconstruction algorithm (Precise Image) with an iterative reconstruction algorithm on image quality and detection of solid lung lesions in chest CT images. Methods: All consecutive patients with at least one solid lung lesion diagnosed between...
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| Main Authors: | Joël Greffier, Maxime Pastor, Quentin Durand, Renaud Sales, Chris Serrand, Jean-Paul Beregi, Djamel Dabli, Julien Frandon |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Research in Diagnostic and Interventional Imaging |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772652525000031 |
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