Development of a novel combined nomogram model integrating deep learning radiomics to diagnose IgA nephropathy clinically

Development of a novel combined nomogram model integrating deep learning radiomics to diagnose IgA nephropathy clinically

AbstractThis study aimed to develop and validate a combined nomogram model based on superb microvascular imaging (SMI)-based deep learning (DL), radiomics characteristics, and clinical factors for noninvasive differentiation between immunoglobulin A nephropathy (IgAN) and non-IgAN. We prospectively...

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Bibliographic Details
Main Authors: Xiachuan Qin, Linlin Xia, Qianqing Ma, Dongliang Cheng, Chaoxue Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Renal Failure
Subjects:
IgA nephropathy
ultrasound
superb microvascular imaging
deep learning
radiomics
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2023.2271104

Internet

https://www.tandfonline.com/doi/10.1080/0886022X.2023.2271104

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