Impact of Deep Learning-Based Image Reconstruction on Tumor Visibility and Diagnostic Confidence in Computed Tomography

Impact of Deep Learning-Based Image Reconstruction on Tumor Visibility and Diagnostic Confidence in Computed Tomography

Deep learning image reconstruction (DLIR) has shown potential to enhance computed tomography (CT) image quality, but its impact on tumor visibility and adoption among radiologists with varying experience levels remains unclear. This study compared the performance of two deep learning-based image rec...

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Bibliographic Details
Main Authors: Marie Bertl, Friedrich-Georg Hahne, Stephanie Gräger, Andreas Heinrich
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Bioengineering
Subjects:
artificial intelligence
computed tomography
deep learning
image reconstruction
tumor staging
Online Access:https://www.mdpi.com/2306-5354/11/12/1285
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