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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Xiaomin Hu, Weihan Xiao, Di Wang, Jiao Yao, Xiaoling Liu, Huaming Xian, Xisheng Xie, Chaoxue Zhang, Xiachuan Qin
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2025-10-01
Schriftenreihe:BMC Medical Imaging
Schlagworte:
IgA nephropathy
Crescents
Ultrasound
Deep learning
Online-Zugang:https://doi.org/10.1186/s12880-025-01958-w
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