Laser & Optoelectronics Progress, Volume. 62, Issue 2, 0217002(2025)

Reliable Polyp Segmentation Based on Local Channel Attention

Jian Xu1,2、* and Ruohan Wang1
Author Affiliations
  • 1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu , China
  • 2Jiangsu Key Laboratory of Big Data Security and Intelligent Processing (Nanjing University of Posts and Telecommunications), Nanjing 210023, Jiangsu , China
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    References(33)

    [7] Su Z P, Li J W, Jiang J W et al. Semantic segmentation method for remote sensing images based on improved DeepLabV3+[J]. Laser & Optoelectronics Progress, 60, 0628003(2023).

    [11] Shan F M, Wang M W, Li M. Multi-scale convolutional neural network incorporating attention mechanism for intestinal polyp segmentation[J]. Journal of Graphics, 44, 50-58(2023).

    [27] Razavi A, van den Oord A, Vinyals O. Generating diverse high-fidelity images with vq-vae-2[C], 14866-14876(2019).

    [28] Dempster A P. A generalization of Bayesian inference[M]. Classic works of the dempster-shafer theory of belief functions, 219, 73-104(2008).

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    Jian Xu, Ruohan Wang. Reliable Polyp Segmentation Based on Local Channel Attention[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0217002

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Apr. 23, 2024

    Accepted: May. 28, 2024

    Published Online: Jan. 3, 2025

    The Author Email:

    DOI:10.3788/LOP241160

    CSTR:32186.14.LOP241160

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