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Deep Learning Based Computed Tomography Whys and Wherefores

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arxiv 1904.03908 v1 pith:GMXC5VWK submitted 2019-04-08 eess.IV cs.LG

Deep Learning Based Computed Tomography Whys and Wherefores

classification eess.IV cs.LG
keywords computeddeeplearningtomographyarticledoseespeciallyinfluences
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.

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    eess.IV 2025-12 conditional novelty 3.0

    Learned iterative reconstruction networks can be uniformly described as operator learning: the unrolled architecture fixes how to compute while the loss and data fix what to compute; for nonlinear inverse problems the...