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

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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Bibliographic Details
Main Authors: Tianying Zheng, Yajing Zhu, Yidi Chen, Shengshi Mai, Lixin Xu, Hanyu Jiang, Ting Duan, Yuanan Wu, Yali Qu, Yinan Chen, Bin Song
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Insights into Imaging
Subjects:
Deep learning
Liver cirrhosis
Magnetic resonance imaging
Neural networks
Computer
Online Access:https://doi.org/10.1186/s13244-024-01872-9
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https://doi.org/10.1186/s13244-024-01872-9

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