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

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...

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Detalles Bibliográficos
Autores principales: Park, Hyoung Suk, Jeon, Kiwan, Lee, JeongEun, You, Sun Kyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782418/
https://www.ncbi.nlm.nih.gov/pubmed/35061701
http://dx.doi.org/10.1371/journal.pone.0260369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782418/
https://www.ncbi.nlm.nih.gov/pubmed/35061701
http://dx.doi.org/10.1371/journal.pone.0260369

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