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    • Multimodal medical image fusion with progressive feature extraction and frequency domain information complementation

    • In the field of multimodal medical image fusion, experts have designed a multi-scale fusion network that extracts common and unique features through a three branch architecture, gradually integrates multi-scale information, and effectively improves the fusion quality.
    • Vol. 30, Issue 5, Pages: 1510-1527(2025)   

      Received:02 September 2024

      Revised:16 October 2024

      Published:16 May 2025

    • DOI: 10.11834/jig.240509     

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  • Li Fuchen, Gao Shanshan, Liu Zheng, Zhang Caiming, Zhou Yuanfeng. 2025. Multimodal medical image fusion with progressive feature extraction and frequency domain information complementation. Journal of Image and Graphics, 30(5):1510-1527 DOI: 10.11834/jig.240509.
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相关作者

Li Fuchen 山东财经大学计算机科学与技术学院
Gao Shanshan 山东财经大学计算机科学与技术学院;山东省数字经济轻量智算与可视化重点实验室;山东省中美数字媒体国际合作研究中心
Liu Zheng 山东财经大学计算机科学与技术学院
Zhang Caiming 山东大学软件学院;山东省未来智能计算协同创新中心
Zhou Yuanfeng 山东大学软件学院
Zhu Fenglong 浙江工业大学计算机科学技术学院
Ding Weilong 浙江工业大学计算机科学技术学院
Jia Xiupeng 宁波市临床病理诊断中心

相关机构

Shandong Provincial Key Laboratory of Digital Media Technology
School of Computer Science and Technology, Shandong University of Finance and Economics
U.S. Digital Media International Cooperation Research Center
School of Software, Shandong University
Shanghai Paiying Medical Technology Co., Ltd.
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