Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction
Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Efforts to reduce the radiation dose have continued steadily, with new reconstruction techniques. Recently, image denoising algorithms using artificial neural networks, termed deep learning reconstruction (DLR), have been applied to CT image reconstruction to overcome the drawbacks of iterative reconstruction (IR). The purpose of our study was to c...
Alternative Titles
Full title
Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction
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TN_cdi_doaj_primary_oai_doaj_org_article_669e3ec46ea944888203d414dcb376ed
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_669e3ec46ea944888203d414dcb376ed
Other Identifiers
ISSN
1471-2342
E-ISSN
1471-2342
DOI
10.1186/s12880-021-00677-2
