Laser & Optoelectronics Progress, Volume. 59, Issue 6, 0617029(2022)

Medical Image Fusion Based on Multi-Scale Feature Learning and Edge Enhancement

Wanxin Xiao1,2, Huafeng Li1,2, Yafei Zhang1,2、*, Minghong Xie1, and Fan Li1,2
Author Affiliations
  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming , Yunnan 650500, China
  • 2Yunnan Key Laboratory of Artificial Intelligence, Kunming , Yunnan 650500, China
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    References(37)

    [2] Wang J X, Chen S, Xie M H. Multi-source image fusion based on low-rank decomposition and convolutional sparse coding[J]. Laser & Optoelectronics Progress, 58, 2210009(2021).

    [3] Li W, Li Z M. NSST-based perception fusion method for infrared and visible images[J]. Laser & Optoelectronics Progress, 58, 2010014(2021).

    [6] Zhao H, Zhang J X, Zhang Z G. PCNN medical image fusion based on NSCT and DWT[J]. Laser & Optoelectronics Progress, 58, 2017002(2021).

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    Wanxin Xiao, Huafeng Li, Yafei Zhang, Minghong Xie, Fan Li. Medical Image Fusion Based on Multi-Scale Feature Learning and Edge Enhancement[J]. Laser & Optoelectronics Progress, 2022, 59(6): 0617029

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Oct. 25, 2021

    Accepted: Nov. 29, 2021

    Published Online: Mar. 8, 2022

    The Author Email: Yafei Zhang (zyfeimail@163.com)

    DOI:10.3788/LOP202259.0617029

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