Photonics Research, Volume. 12, Issue 7, 1410(2024)

Screening COVID-19 from chest X-ray images by an optical diffractive neural network with the optimized F number

Jialong Wang1、†, Shouyu Chai1、†, Wenting Gu1, Boyi Li1, Xue Jiang2, Yunxiang Zhang3, Hongen Liao4,5, Xin Liu1、*, and Dean Ta1,2,6
Author Affiliations
  • 1Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
  • 2Center for Biomedical Engineering, Fudan University, Shanghai 200433, China
  • 3Department of Chemistry, Fudan University, Shanghai 200433, China
  • 4Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
  • 5e-mail: liao@tsinghua.edu.cn
  • 6e-mail: tda@fudan.edu.cn
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    References(45)

    [34] J. Irvin, P. Rajpurkar, M. Ko. CheXpert: a large chest radiograph dataset with uncertainty labels and expert comparison. Proceedings of the AAAI Conference on Artificial Intelligence, 590-597(2019).

    [43] J. W. Goodman. Introduction to Fourier Optics(2005).

    [44] M. Born, E. Wolf. Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light(2013).

    [45] K. Matsushima. Introduction to Computer Holography: Creating Computer-Generated Holograms as the Ultimate 3D Image(2020).

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    Jialong Wang, Shouyu Chai, Wenting Gu, Boyi Li, Xue Jiang, Yunxiang Zhang, Hongen Liao, Xin Liu, Dean Ta, "Screening COVID-19 from chest X-ray images by an optical diffractive neural network with the optimized F number," Photonics Res. 12, 1410 (2024)

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    Paper Information

    Category: Image Processing and Image Analysis

    Received: Nov. 20, 2023

    Accepted: Apr. 7, 2024

    Published Online: Jun. 17, 2024

    The Author Email: Xin Liu (xin_liu@fudan.edu.cn)

    DOI:10.1364/PRJ.513537

    CSTR:32188.14.PRJ.513537

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