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

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

Abstract 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 p...

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Bibliographic Details
Main Authors: Se Woo Kim, Jung Hoon Kim, Suha Kwak, Minkyo Seo, Changhyun Ryoo, Cheong-Il Shin, Siwon Jang, Jungheum Cho, Young-Hoon Kim, Kyutae Jeon
Format: Article
Language:English
Published: Nature Portfolio 2021-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-99896-4

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https://doi.org/10.1038/s41598-021-99896-4

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