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Enhancing cardiac CT imaging quality: Precision metrics for assessing image quality for AI-powered reconstructions

Benjamin Longère1, Jean-Nicolas Dacher2

  • 1CHU Lille, Department of Cardiothoracic Radiology, Univ. Lille, INSERM, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), 59000 Lille, France.

Diagnostic and Interventional Imaging
|December 5, 2023
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Cardiac CTDeep-learning image reconstruction algorithmMultidetector computed tomographyTask-based image quality assessment

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