A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation

Hoon Ko   ^{1 *} , MSc ;   Jimi Huh   ^{2 *} , MD, PhD ;   Kyung Won Kim   ^{3, 4} , MD, PhD ;   Heewon Chung   ¹ , MSc ;   Yousun Ko   ⁵ , PhD ;   Jai Keun Kim   ² , MD, PhD ;   Jei Hee Lee   ² , MD, PhD ;   Jinseok Lee   ¹ , PhD

¹ Department of Biomedical Engineering, Kyung Hee University, Yongin-si, Republic of Korea

² The Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea

³ Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

⁴ Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

⁵ Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea

*these authors contributed equally