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

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 been investigated for low-dose CT (LDCT). Here we design a modularized neural network for LDCT and compared it with...

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Detalhes bibliográficos
Publicado no:Nat Mach Intell
Main Authors: Shan, Hongming, Padole, Atul, Homayounieh, Fatemeh, Kruger, Uwe, Khera, Ruhani Doda, Nitiwarangkul, Chayanin, Kalra, Mannudeep K., Wang, Ge
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7687920/
https://ncbi.nlm.nih.gov/pubmed/33244514
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42256-019-0057-9
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