Deep learning-assisted diagnosis of liver tumors using non-contrast magnetic resonance imaging: a multicenter study

ObjectivesNon-contrast MRI(NC-MRI) is an attractive option for liver tumors screening and follow-up. This study aims to develop and validate a deep convolutional neural network for the classification of liver lesions using non-contrast MRI.MethodsA total of 50418 enhanced MRI images from 1959 liver...

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Bibliographic Details
Main Authors:	Shihui Zhen, Peng Zhang, Hanxiao Huang, Zhiyu Jiang, Yankai Jiang, Jihong Sun, Liqing Zhang, Mei Ruan, Qingqing Chen, Yujun Wang, Yubo Tao, Weizhi Luo, Ming Cheng, Zhetuo Qi, Wei Lu, Hai Lin, Xiujun Cai
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Series:	Frontiers in Oncology
Subjects:	deep learning liver tumor classification non-contrast magnetic resonance imaging
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1582322/full
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Deep learning-assisted diagnosis of liver tumors using non-contrast magnetic resonance imaging: a multicenter study

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