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Pancreas segmentation algorithm based on dual input 3D convolutional neural network
更新时间：2025-05-26

    • Pancreas segmentation algorithm based on dual input 3D convolutional neural network

    • “In the field of medical imaging, researchers have proposed a pancreatic segmentation algorithm based on dual input 3D convolutional neural networks, which improves the accuracy of pancreatic segmentation and provides a new method for the diagnosis of pancreatic diseases.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 12, Pages: 3565-3572(2023)
    • 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

    • DOI：10.13229/j.cnki.jdxbgxb.20220141    

      CLC： TP391

    • Received：16 February 2022，

      Published：01 December 2023

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  • LIU Gui-xia,TIAN Yu-xin,WANG Tao,et al.Pancreas segmentation algorithm based on dual input 3D convolutional neural network[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(12):3565-3572. DOI： 10.13229/j.cnki.jdxbgxb.20220141.

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