Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis

Abstract Objectives To develop and externally validate a fully automated diagnostic convolutional neural network (CNN) model for cirrhosis based on liver MRI and serum biomarkers. Methods This multicenter retrospective study included consecutive patients receiving pathological evaluation of liver fi...

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Detalhes bibliográficos

Principais autores:	Tianying Zheng, Yajing Zhu, Yidi Chen, Shengshi Mai, Lixin Xu, Hanyu Jiang, Ting Duan, Yuanan Wu, Yali Qu, Yinan Chen, Bin Song
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2024-12-01
coleção:	Insights into Imaging
Assuntos:	Deep learning Liver cirrhosis Magnetic resonance imaging Neural networks Computer
Acesso em linha:	https://doi.org/10.1186/s13244-024-01872-9
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