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Journal of Innovative Optical Health Sciences, Volume. 16, Issue 2, 2244001(2023)

Label-free breast cancer detection and classification by convolutional neural network-based on exosomes surface-enhanced raman scattering

Xiao Ma1, Honglian Xiong2, Jinhao Guo1, Zhiming Liu1, Yaru Han1, Mingdi Liu2, Yanxian Guo1, Mingyi Wang2, Huiqing Zhong1,2、*, and Zhouyi Guo1,2、**
Author Affiliations
  • 1MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology & Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou Key Laboratory of Spectral Analysis and Functional Probes, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China
  • 2Department of Physics and Optoelectronic Engineering, Foshan University, Guangdong 528011, P. R. China
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    Xiao Ma, Honglian Xiong, Jinhao Guo, Zhiming Liu, Yaru Han, Mingdi Liu, Yanxian Guo, Mingyi Wang, Huiqing Zhong, Zhouyi Guo. Label-free breast cancer detection and classification by convolutional neural network-based on exosomes surface-enhanced raman scattering[J]. Journal of Innovative Optical Health Sciences, 2023, 16(2): 2244001

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    Paper Information

    Category: Research Articles

    Received: Feb. 20, 2022

    Accepted: May. 4, 2022

    Published Online: Mar. 31, 2023

    The Author Email: Zhong Huiqing (zhonghq@scnu.edu.cn), Guo Zhouyi (ann@scnu.edu.cn)

    DOI:10.1142/S1793545822440011

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology