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

Yao Chen; Siqi Zhu; Shenhe Fu; Zhen Li; Furong Huang; Hao Yin; Zhenqiang Chen

doi:10.1142/s1793545820500029

Journals >Journal of Innovative Optical Health Sciences >Volume 13 >Issue 1 >Page 2050002 > Article

Journal of Innovative Optical Health Sciences
Vol. 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 Zhu^1、2、*, Shenhe Fu³, Zhen Li^1、3, Furong Huang^1、3, Hao Yin^1、3, and Zhenqiang Chen^{1、2、3、4}

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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DOI: 10.1142/s1793545820500029 Cite this Article

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 Copy Citation Text

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