Presence of crescents in IgA nephropathy–prediction from ultrasound images using deep learning

Abstract Background This study aimed to develop an ultrasound (US)-based deep learning (DL) model to evaluate the presence of crescents in patients with immunoglobulin A nephropathy (IgAN). Methods We created a training set consisting of 2,682 US images obtained from 931 patients with IgAN at the Fi...

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Detalhes bibliográficos

Principais autores:	Xiaomin Hu, Weihan Xiao, Di Wang, Jiao Yao, Xiaoling Liu, Huaming Xian, Xisheng Xie, Chaoxue Zhang, Xiachuan Qin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-10-01
Colecção:	BMC Medical Imaging
Assuntos:	IgA nephropathy Crescents Ultrasound Deep learning
Acesso em linha:	https://doi.org/10.1186/s12880-025-01958-w
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