Chinese Journal of Liquid Crystals and Displays, Volume. 36, Issue 11, 1565(2021)

Research on ARS-CNN algorithm in the identification of COVID-19

YI San-li1,2、*, WANG Tian-wei1,2, YANG Xue-lian1,2, and SHE Fu-rong1,2
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(17)

    [4] [4] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition [J]. arXiv: 1409.1556, 2014.

    [5] [5] HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition [C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas: IEEE, 2016: 770-778.

    [6] [6] SZEGEDY C, LIU W, JIA Y Q, et al. Going deeper with convolutions [C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston: IEEE, 2015: 1-9.

    [7] [7] LIU S T, HUANG D, WANG Y H. Receptive field block net for accurate and fast object detection [C]//Proceedings of the 15th European Conference on Computer Vision. Munich: Springer, 2018.

    [8] [8] CHOLLET F. Xception: deep learning with depthwise separable convolutions [C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017: 1800-1807.

    [9] [9] HUANG G, LIU Z, VAN DER MAATEN L, et al. Densely connected convolutional networks [C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017: 2261-2269.

    [10] [10] EZZAT D, HASSANIEN A E, ELLA H A. GSA-DenseNet121-COVID-19: a hybrid deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization algorithm [J]. arXiv: 2004.05084, 2020.

    [11] [11] AL-FALLUJI R A, KATHEETH Z D, ALATHARI B. Automatic detection of COVID-19 using chest X-Ray images and modified ResNet18-based convolution neural networks [J]. Computers, Materials & Continua, 2021, 66(2): 1301-1313.

    [12] [12] OUCHICHA C, AMMOR O, MEKNASSI M. CVDNet: a novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images [J]. Chaos, Solitons & Fractals, 2020, 140: 110245-.

    [13] [13] BAYOUDH K, HAMDAOUI F, MTIBAA A. Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images [J]. Physical and Engineering Sciences in Medicine, 2020, 43(4): 1415-1431.

    [14] [14] CHEN L C, ZHU Y K, PAPANDREOU G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation [C]//Proceedings of the 15th European Conference on Computer Vision. Munich: Springer, 2018: 833-851.

    [15] [15] YU F, KOLTUN V. Multi-scale context aggregation by dilated convolutions [C]//Proceedings of the 4th International Conference on Learning Representations. San Juan, 2016: 1511. 07122.

    [16] [16] CAO Y, XU J R, LIN S, et al. GCNet: non-local networks meet squeeze-excitation networks and beyond [C]//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). Seoul: IEEE, 2019: 1971-1980.

    [17] [17] ROY A G, NAVAB N, WACHINGER C. Concurrent spatial and channel ‘Squeeze & Excitation’ in fully convolutional networks [C]//Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention. Granada: Springer, 2018: 421-429.

    [18] [18] SZEGEDY C, IOFFE S, VANHOUCKE V, et al. Inception-v4, Inception-ResNet and the impact of residual connections on learning [C]//Proceedings of the 31st AAAI Conference on Artificial Intelligence. San Francisco: ACM, 2017: 4278-4284.

    [19] [19] CHOWDHURY N K, RAHMAN M M, KABIR M A. PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images [J]. Health Information Science and Systems, 2020, 8(1): 27.

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    YI San-li, WANG Tian-wei, YANG Xue-lian, SHE Fu-rong. Research on ARS-CNN algorithm in the identification of COVID-19[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(11): 1565

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    Paper Information

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    Received: Jan. 27, 2021

    Accepted: --

    Published Online: Dec. 1, 2021

    The Author Email: YI San-li (152514845@qq.com)

    DOI:10.37188/cjlcd.2021-0027

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