Generating synthetic contrast enhancement from non-contrast chest computed tomography using a generative adversarial network

This study aimed to evaluate a deep learning model for generating synthetic contrast-enhanced CT (sCECT) from non-contrast chest CT (NCCT). A deep learning model was applied to generate sCECT from NCCT. We collected three separate data sets, the development set (n = 25) for model training and tuning...

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Detalles Bibliográficos
Autores principales: Choi, Jae Won, Cho, Yeon Jin, Ha, Ji Young, Lee, Seul Bi, Lee, Seunghyun, Choi, Young Hun, Cheon, Jung-Eun, Kim, Woo Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516920/
https://www.ncbi.nlm.nih.gov/pubmed/34650076
http://dx.doi.org/10.1038/s41598-021-00058-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516920/
https://www.ncbi.nlm.nih.gov/pubmed/34650076
http://dx.doi.org/10.1038/s41598-021-00058-3

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