Denoising of pediatric low dose abdominal CT using deep learning based algorithm Denoising of pediat...
Denoising of pediatric low dose abdominal CT using deep learning based algorithm Denoising of pediatric low dose abdominal CT using deep learning based algorithm
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Public Library of Science (PLoS)
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English
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Public Library of Science (PLoS)
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Objectives To evaluate standard dose-like computed tomography (CT) images generated by a deep learning method, trained using unpaired low-dose CT (LDCT) and standard-dose CT (SDCT) images. Materials and methods LDCT (80 kVp, 100 mAs, n = 83) and SDCT (120 kVp, 200 mAs, n = 42) images were divided into training (42 LDCT and 42 SDCT) and validation (...
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Denoising of pediatric low dose abdominal CT using deep learning based algorithm Denoising of pediatric low dose abdominal CT using deep learning based algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_a99b8fccbc844e8595f3ff81d1b948af
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a99b8fccbc844e8595f3ff81d1b948af
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1932-6203
