Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1600002(2025)

Applications and Advancements of U-Net and Its Variants in Brain Tumor Image Segmentation

Nan Wang, Hua Wang, Dejian Wei, Liang Jiang, Peihong Han, and Hui Cao*
Author Affiliations
  • School of Medical Informational Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong , China
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    References(85)

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    [42] Xu X T, Li L L, Cai Y X. Brain tumor image segmentation using feature adaptive aggregation based on multi-scale attention[J]. Computer Measurement & Control, 31, 224-230(2023).

    [44] Li Y, Xu L F, Cui W G et al. Experimental research on brain tumor segmentation based on multimodal deep learning[J]. Experimental Technology and Management, 39, 11-14, 36(2022).

    [60] Huo G Q, Li Q, Guan X. Multiscale efficient brain tumor segmentation network based on ShuffleNet[J]. Information and Control, 51, 699-707, 718(2022).

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    Nan Wang, Hua Wang, Dejian Wei, Liang Jiang, Peihong Han, Hui Cao. Applications and Advancements of U-Net and Its Variants in Brain Tumor Image Segmentation[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1600002

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    Paper Information

    Category: Reviews

    Received: Dec. 6, 2024

    Accepted: Mar. 12, 2025

    Published Online: Aug. 8, 2025

    The Author Email: Hui Cao (caohui63@163.com)

    DOI:10.3788/LOP242385

    CSTR:32186.14.LOP242385

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