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...
Main Authors: | Xiachuan Qin, Linlin Xia, Qianqing Ma, Dongliang Cheng, Chaoxue Zhang |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Renal Failure |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2023.2271104 |
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