Laser Journal, Volume. 45, Issue 3, 168(2024)

COVID-19 lesion segmentation network based on multi-scale feature fusion attention

LIN Jieqin1 and HUANG Xin1,2、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(9)

    [2] [2] Long J , Shelhamer E , Darrell T. Fully Convolutional Net- works for Semantic Segmentation[J] . IEEE transactions on pattern analysis and machine intelligence , 2015 , 39 ( 4) : 640-651.

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    [5] [5] Shaziya H , Shyamala K , Zaheer R. Automatic Lung Seg- mentation on Thoracic CT Scans Using U-Net Convolutional Network[ C]//2018 International Conference on Communi- cation and Signal Processing ( ICCSP) . 2018.

    [6] [6] Kong J , Zhou W. Diagnosis Model of COVID- 19 with Fea- ture Loss[ C]// 2020 2nd International Conference on In- formation Technology and Computer Application ( ITCA) . 2020.

    [8] [8] He K , Zhang X , Ren S , et al. Spatial pyramid pooling in deep convolutional networks for visual recognition [ J ] . IEEE transactions on pattern analysis and machine intelli- gence , 2015 , 37(9) : 1904- 1916.

    [10] [10] Woo S , Park J , Lee J Y , et al. Cbam : Convolutional block attention module[ C]//Proceedings of the European confer- ence on computer vision ( ECCV) . 2018 : 3- 19.

    [11] [11] M. W Gardner , S. R Dorling , et al. Artificial neural net- works ( the multilayer perceptron) —a review of applications in the atmospheric sciences [ C ]// Atmospheric Environ- ment ,Volume 32 , Issues 14- 15 , 1998 : 2627-2636.

    [12] [12] MA Jun , GE Cheng , WANG Yixin , et al. COVID - 19 CT lung and infection segmentation dataset [ EB/OL] . [ 2021 - 01-25] .

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    LIN Jieqin, HUANG Xin. COVID-19 lesion segmentation network based on multi-scale feature fusion attention[J]. Laser Journal, 2024, 45(3): 168

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    Paper Information

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    Received: Aug. 11, 2023

    Accepted: --

    Published Online: Oct. 15, 2024

    The Author Email: Xin HUANG (hxgl@guet.edu.cn)

    DOI:10.14016/j.cnki.jgzz.2024.03.168

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