Chinese Journal of Lasers, Volume. 52, Issue 3, 0307104(2025)

Large Kernel Convolution and Transformer Parallelism Based 3D Medical Image Registration Modeling

Jing Peng, Jiarong Yan*, Yu Shen, Jiaying Liu, Ziyi Wei, Shan Bai, Jiangcheng Li, Yukun Ma, and Ruoxuan Wang
Author Affiliations
  • School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
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    References(23)

    [1] Zou M Y, Yang H, Pan G H et al. Research progress and challenges of deep learning in medical image registration[J]. Journal of Biomedical Engineering, 36, 677-683(2019).

    [7] Guo Y F, Cui Z, Yang Z P et al. Research progress of medical image registration technology based on deep learning[J]. Computer Engineering and Applications, 57, 1-8(2021).

    [8] Mo X Y, Yang F, Yin M X et al. Survey on deep learning in medical image registration[J]. Journal of Chinese Computer Systems, 42, 1706-1714(2021).

    [11] Yi J B, Chen X, Cao F et al. Design of large deformable lung image registration network with adaptive window[J]. Acta Optica Sinica, 44, 1915002(2024).

    [12] Lin L H, Yi J B, Cao F et al. Non-rigid registration algorithm of lung computed tomography image based on multi-scale parallel fully convolutional neural network[J]. Laser & Optoelectronics Progress, 59, 1617004(2022).

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    Jing Peng, Jiarong Yan, Yu Shen, Jiaying Liu, Ziyi Wei, Shan Bai, Jiangcheng Li, Yukun Ma, Ruoxuan Wang. Large Kernel Convolution and Transformer Parallelism Based 3D Medical Image Registration Modeling[J]. Chinese Journal of Lasers, 2025, 52(3): 0307104

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    Paper Information

    Category: Biomedical Optical Imaging

    Received: Oct. 15, 2024

    Accepted: Nov. 11, 2024

    Published Online: Jan. 20, 2025

    The Author Email: Yan Jiarong (yjr08140917@163.com)

    DOI:10.3788/CJL241269

    CSTR:32183.14.CJL241269

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