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

This 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 enrolled...

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Detalles Bibliográficos
Autores principales: Qin, Xiachuan, Xia, Linlin, Ma, Qianqing, Cheng, Dongliang, Zhang, Chaoxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Clinical Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591537/
https://www.ncbi.nlm.nih.gov/pubmed/37860932
http://dx.doi.org/10.1080/0886022X.2023.2271104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591537/
https://www.ncbi.nlm.nih.gov/pubmed/37860932
http://dx.doi.org/10.1080/0886022X.2023.2271104

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