Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography—Performance Comparison of Machine Learning Methods and Simulation Software

From the ∗Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Okayama

†Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto

‡Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima

§Department of Medical Physics, Faculty of Life Sciences, Kumamoto University, Kumamoto

∥Department of Diagnostic Radiology

¶Department of Radiological Technology, Tsuchiya General Hospital

#Department of Radiological Technology, Kawamura Clinic Otemachi, Hiroshima, Japan.

Received for publication April 14, 2021; accepted August 17, 2021.

Correspondence to: Takanori Masuda, PhD, Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288 Matsushima, Kurashiki-city, Okayama 701-0193, Japan (e-mail: [email protected]).

The authors declare no conflict of interest.

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