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Constructing different models to predict the degree of uterine prolapse based on high-resolution MRI radiomics

Author:Qian Wang Qiu Bi Yijun Zheng Yaoxing Wang Yuhui Chen Chenrong Li Xianhong Wang Yunzhu Wu Guoli Bi

Session Type:Digital Poster

Session Date:Monday, 05 June 2023

Session Name:AI Application in Body Imaging II

Program Number:1661

Room Session:Exhibition Halls D/E

Institution :Department of MRI, the First People’s Hospital of Yunnan Province Medical school, Kunming University of Science and Technology MR Scientific Marketing, Siemens Healthineers Ltd

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