Elastography ultrasound with machine learning improves the diagnostic performance of traditional ultrasound in predicting kidney fibrosis

Elastography ultrasound with machine learning improves the diagnostic performance of traditional ultrasound in predicting kidney fibrosis

Background: Noninvasively predicting kidney tubulointerstitial fibrosis is important because it's closely correlated with the development and prognosis of chronic kidney disease (CKD). Most studies of shear wave elastography (SWE) in CKD were limited to non-linear statistical dependencies and d...

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Bibliographic Details
Main Authors: Minyan Zhu, Liyong Ma, Wenqi Yang, Lumin Tang, Hongli Li, Min Zheng, Shan Mou
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Journal of the Formosan Medical Association
Subjects:
Elasticity imaging techniques
Fibrosis
Kidney diseases
Support vector machine
Ultrasonography
Online Access:http://www.sciencedirect.com/science/article/pii/S0929664621003879

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http://www.sciencedirect.com/science/article/pii/S0929664621003879

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