Deep Learning Based Computed Tomography Whys and Wherefores
arXiv:1904.03908v18 citations
Originality Synthesis-oriented
AI Analysis
This work targets medical imaging professionals by discussing deep learning applications in CT, but it appears incremental as it reviews existing methods without introducing new data or breakthroughs.
The paper addresses the challenge of improving Computed Tomography (CT) reconstruction, particularly in low-dose scenarios, by exploring the influence of deep learning on the CT pipeline, though no specific results or numbers are provided.
This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.