Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions
Smooth and Smoother levels may now be used in clinical practice for chest CT acquisitions in solid lung lesion follow-up.
Authors
- Djamel Dabli (ORCID: https://orcid.org/0000-0003-1003-1196)
- Jean-Paul Bérégi
- Renaud Sales (ORCID: https://orcid.org/0000-0003-3199-0097)
- Maxime Pastor (ORCID: https://orcid.org/0009-0005-0156-6190)
- Julien Frandon (ORCID: https://orcid.org/0000-0001-7816-8178)
- Quentin Durand
- Chris Serrand (ORCID: https://orcid.org/0000-0002-6074-8577)
- Joël Greffier (ORCID: https://orcid.org/0000-0002-1735-5129)
Institutions
- Centre Hospitalier Universitaire de Nîmes (FR)
Publication Details
- Journal
- Research in Diagnostic and Interventional Imaging
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1016/j.redii.2025.100062
- Citations
- 2
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.04