Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma.

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Bibliographic Details
Title: Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma.
Alternate Title: 基于影像组学的深度学习评估肌少症对肝癌切除和移植患者预后的影响.
Authors: Liu, Zhikun1,2 (AUTHOR), Wu, Yichao2,3 (AUTHOR), Khan, Abid Ali2,3 (AUTHOR), Lu, Lun4 (AUTHOR), Wang, Jianguo1,2 (AUTHOR), Chen, Jun1,2 (AUTHOR), Jia, Ningyang4 (AUTHOR) ningyangjia@163.com, Zheng, Shusen2,5,6 (AUTHOR) zyzss@zju.edu.cn, Xu, Xiao1,2,3 (AUTHOR) zjxu@zju.edu.cn
Source: Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology). Jan2024, Vol. 25 Issue 1, p83-90. 8p.
Database: Academic Search Ultimate
Description
ISSN:16731581
DOI:10.1631/jzus.B2300363