Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh, U Kruger… - Nature Machine …, 2019 - nature.com
Commercial iterative reconstruction techniques help to reduce the radiation dose of
computed tomography (CT), but altered image appearance and artefacts can limit their …
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Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh… - Nature Machine …, 2019 - mahidol.elsevierpure.com
Commercial iterative reconstruction techniques help to reduce the radiation dose of
computed tomography (CT), but altered image appearance and artefacts can limit their …

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh, U Kruger… - Nat Mach …, 2019 - dash.harvard.edu
Commercial iterative reconstruction techniques on modern CT scanners target radiation
dose reduction but there are lingering concerns over their impact on image appearance and …

[引用][C] Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh, U Kruger… - Nature Machine …, 2019 - cir.nii.ac.jp
Competitive performance of a modularized deep neural network compared to commercial
algorithms for low-dose CT image reconstruction | CiNii Research CiNii 国立情報学研究所 学術 …
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[PDF][PDF] Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh, U Kruger… - academia.edu
ILD= N (IND)(1) where N: Rw× h→ Rw× h denotes the noise-induced corrupting process
due to the quantum nature of the x-ray photon propagation. The conventional denoising …

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh… - Nature machine …, 2019 - pubmed.ncbi.nlm.nih.gov
Commercial iterative reconstruction techniques help to reduce CT radiation dose but altered
image appearance and artifacts limit their adoptability and potential use. Deep learning has …
[HTML] nih.gov

[HTML][HTML] Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh… - Nature machine …, 2019 - ncbi.nlm.nih.gov
Commercial iterative reconstruction techniques help to reduce CT radiation dose but altered
image appearance and artifacts limit their adoptability and potential use. Deep learning has …

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.

H Shan, A Padole, F Homayounieh… - Nature Machine …, 2019 - europepmc.org
Commercial iterative reconstruction techniques help to reduce CT radiation dose but altered
image appearance and artifacts limit their adoptability and potential use. Deep learning has …

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

H Shan, A Padole, F Homayounieh… - Nature Machine …, 2019 - dash.harvard.edu
Commercial iterative reconstruction techniques help to reduce CT radiation dose but altered
image appearance and artifacts limit their adoptability and potential use. Deep learning has …