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Journal of Innovative Optical Health Sciences, Volume. 13, Issue 1, 2050002(2020)

Classification of hyperspectral images for detection of hepatic carcinoma cells based on spectral–spatial features of nucleus

Yao Chen1... Siqi Zhu1,2,*, Shenhe Fu3, Zhen Li1,3, Furong Huang1,3, Hao Yin1,3, and Zhenqiang Chen1,2,34 |Show fewer author(s)
Author Affiliations
  • 1Guangdong Provincial Engineering Research Center of Crystal and Laser Technology, Guangzhou 510632, P. R. China
  • 2Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Guangzhou 510632, P. R. China
  • 3Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, P. R. China
  • 4Guangdong Provincial Key Laboratory of Industrial, Ultrashort Pulse Laser Technology, Shenzhen 518055, P. R. China
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    Yao Chen, Siqi Zhu, Shenhe Fu, Zhen Li, Furong Huang, Hao Yin, Zhenqiang Chen. Classification of hyperspectral images for detection of hepatic carcinoma cells based on spectral–spatial features of nucleus[J]. Journal of Innovative Optical Health Sciences, 2020, 13(1): 2050002

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    Paper Information

    Received: Aug. 23, 2019

    Accepted: --

    Published Online: --

    The Author Email: Zhu Siqi (tzhusiqi@jnu.edu.cn)

    DOI:10.1142/s1793545820500029

    Topics

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