Auto-Segmentation Ultrasound-Based Radiomics Technology to Stratify Patient With Diabetic Kidney Disease: A Multi-Center Retrospective Study

Auto-Segmentation Ultrasound-Based Radiomics Technology to Stratify Patient With Diabetic Kidney Disease: A Multi-Center Retrospective Study

BackgroundAn increasing proportion of patients with diabetic kidney disease (DKD) has been observed among incident hemodialysis patients in large cities, which is consistent with the continuous growth of diabetes in the past 20 years.PurposeIn this multicenter retrospective study, we developed a dee...

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Bibliographic Details
Main Authors: Jifan Chen, Peile Jin, Yue Song, Liting Feng, Jiayue Lu, Hongjian Chen, Lei Xin, Fuqiang Qiu, Zhang Cong, Jiaxin Shen, Yanan Zhao, Wen Xu, Chenxi Cai, Yan Zhou, Jinfeng Yang, Chao Zhang, Qin Chen, Xiang Jing, Pintong Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
ultrasound
radiomics
deep learning
diabetic kidney disease
multicenter
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.876967/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.876967/full

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