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Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610015(2022)

2D-3D Medical Image Registration Based on Training-Inference Decoupling Architecture

Wenjü Li1, Deqing Kong1, Guogang Cao1、*, Sicheng Li1, and Cuixia Dai2
Author Affiliations
  • 1School of Computer Science & Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China
  • 2School of Sciences, Shanghai Institute of Technology, Shanghai 201418, China
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    Article index updated: Sep. 7, 2025

    The article is cited by 5 article(s) CLP online library. (Some content might be in Chinese.)
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    Wenjü Li, Deqing Kong, Guogang Cao, Sicheng Li, Cuixia Dai. 2D-3D Medical Image Registration Based on Training-Inference Decoupling Architecture[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610015

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    Paper Information

    Category: Image Processing

    Received: Nov. 16, 2021

    Accepted: Feb. 25, 2022

    Published Online: Aug. 8, 2022

    The Author Email: Guogang Cao (guogangcao@163.com)

    DOI:10.3788/LOP202259.1610015

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology