The feasibility of deep learning-based synthetic contrast-enhanced CT from nonenhanced CT in emergency department patients with acute abdominal pain

Our objective was to investigate the feasibility of deep learning-based synthetic contrast-enhanced CT (DL-SCE-CT) from nonenhanced CT (NECT) in patients who visited the emergency department (ED) with acute abdominal pain (AAP). We trained an algorithm generating DL-SCE-CT using NECT with paired pre...

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Detalles Bibliográficos
Autores principales: Kim, Se Woo, Kim, Jung Hoon, Kwak, Suha, Seo, Minkyo, Ryoo, Changhyun, Shin, Cheong-Il, Jang, Siwon, Cho, Jungheum, Kim, Young-Hoon, Jeon, Kyutae
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/PMC8516935/
https://www.ncbi.nlm.nih.gov/pubmed/34650183
http://dx.doi.org/10.1038/s41598-021-99896-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516935/
https://www.ncbi.nlm.nih.gov/pubmed/34650183
http://dx.doi.org/10.1038/s41598-021-99896-4

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