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...
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 |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-99896-4 |
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