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Stomach cancer survival prediction model based on multimodal data fusion
更新时间:2025-11-14
    • Stomach cancer survival prediction model based on multimodal data fusion

    • In the field of survival prediction for gastric cancer patients, researchers have proposed a multimodal data fusion model that improves prediction accuracy through graph attention networks and convolutional neural networks.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 8, Pages: 2693-2702(2025)
    • 作者机构:

      1.吉林大学 计算机科学与技术学院,长春 130012

      2.吉林大学 符号计算与知识工程教育部重点实验室,长春 130012

      3.北京林业大学 信息学院,北京 100083

      4.长崎综合科学大学 研究生院工学研究科,长崎 851-0193

    • DOI:10.13229/j.cnki.jdxbgxb.20231262    

      CLC: TP391
    • Received:15 November 2023

      Published:01 August 2025

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  • LIU Yuan-ning,WANG Xing-zhe,HUANG Zi-yu,et al.Stomach cancer survival prediction model based on multimodal data fusion[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(08):2693-2702. DOI: 10.13229/j.cnki.jdxbgxb.20231262.

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