A renal vascular compartment segmentation method based on dynamic contrast-enhanced images
Author:
Affiliation:
1. Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning, China
2. Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
Publisher
IOS Press
Subject
Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics
Reference35 articles.
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