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

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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
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  Data: Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma.
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  Data: 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.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Zhejiang+University-SCIENCE+B+%28Biomedicine+%26+Biotechnology%29%22">Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology)</searchLink>. Jan2024, Vol. 25 Issue 1, p83-90. 8p.
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      – Type: doi
        Value: 10.1631/jzus.B2300363
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      – Code: eng
        Text: English
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        PageCount: 8
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      – TitleFull: Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma.
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            NameFull: Liu, Zhikun
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            NameFull: Wu, Yichao
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            NameFull: Khan, Abid Ali
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            NameFull: Lu, Lun
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            NameFull: Wang, Jianguo
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            NameFull: Chen, Jun
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            NameFull: Jia, Ningyang
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            – D: 01
              M: 01
              Text: Jan2024
              Type: published
              Y: 2024
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              Value: 25
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            – TitleFull: Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology)
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