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Brain tumor image segmentation based on Semantic Flow Guided Sampling and Attention Mechanism
Information Sciences | 更新时间：2024-02-29

    • Brain tumor image segmentation based on Semantic Flow Guided Sampling and Attention Mechanism

    • “In the field of automatic segmentation of brain tumors, researchers have proposed a lightweight dual attention feature alignment network DAFANet, which effectively improves segmentation accuracy and model convergence speed.”
    • Optics and Precision Engineering   Vol. 32, Issue 4, Pages: 565-577(2024)

    • DOI：10.37188/OPE.20243204.0565    

      CLC： TP394.1;TH691.9

    • Received：05 April 2023，

      Revised：09 May 2023，

      Published：25 February 2024

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  • SONG Jianli,LÜ Xiaoqi,GU Yu.Brain tumor image segmentation based on Semantic Flow Guided Sampling and Attention Mechanism[J].Optics and Precision Engineering,2024,32(04):565-577. DOI： 10.37188/OPE.20243204.0565.

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