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Open Access

Peer-reviewed

Research Article

Denoising of pediatric low dose abdominal CT using deep learning based algorithm

Hyoung Suk Park,

Roles Conceptualization, Data curation, Funding acquisition, Methodology, Software, Writing – original draft

Affiliation National Institute for Mathematical Sciences, Daejeon, Republic of Korea
⨯
Kiwan Jeon,

Roles Software, Supervision, Validation, Writing – review & editing

Affiliation National Institute for Mathematical Sciences, Daejeon, Republic of Korea
⨯
JeongEun Lee,

Roles Supervision, Validation, Writing – review & editing

Affiliations Department of Radiology, Chungnam National University College of Medicine, Daejeon, Republic of Korea, Department of Radiology, Chungnam National University Hospital, Daejeon, Republic of Korea
⨯
Sun Kyoung You

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Project administration, Resources, Visualization, Writing – original draft

* E-mail: sunkyou@cnuh.co.kr

Affiliations Department of Radiology, Chungnam National University College of Medicine, Daejeon, Republic of Korea, Department of Radiology, Chungnam National University Hospital, Daejeon, Republic of Korea

https://orcid.org/0000-0002-1026-5809

⨯

Denoising of pediatric low dose abdominal CT using deep learning based algorithm

Hyoung Suk Park,
Kiwan Jeon,
JeongEun Lee,
Sun Kyoung You

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Published: January 21, 2022
https://doi.org/10.1371/journal.pone.0260369

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Portal veins
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Liver and spleen scan
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Deep learning
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Image analysis
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Convolution
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Radiology and imaging
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