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Hierarchical feature refinement with frequency-enhanced learning method for nuclei segmentation in spatial omics
Information Sciences | 更新时间:2025-07-03
    • Hierarchical feature refinement with frequency-enhanced learning method for nuclei segmentation in spatial omics

    • In the field of spatial multi omics analysis, researchers have proposed a cell nucleus segmentation network FFVM-UKAN, which achieves high-precision mapping between spatial genes and cell nuclei, demonstrating its potential applications in this field.
    • Optics and Precision Engineering   Vol. 33, Issue 9, Pages: 1456-1470(2025)
    • DOI:10.37188/OPE.20253309.1456    

      CLC: TP391.4
    • CSTR:32169.14.OPE.20253309.1456    
    • Received:09 January 2025

      Revised:18 March 2025

      Published:10 May 2025

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  • LI Xiuqi,LI Jinze,YANG Qi,et al.Hierarchical feature refinement with frequency-enhanced learning method for nuclei segmentation in spatial omics[J].Optics and Precision Engineering,2025,33(09):1456-1470. DOI: 10.37188/OPE.20253309.1456. CSTR: 32169.14.OPE.20253309.1456.

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Li Xiuqi
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Key Laboratory of Biomedical Detection Technology Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
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