• Laser & Optoelectronics Progress
  • Vol. 60, Issue 1, 0130003 (2023)
Yong Yang1、2, Hao Dong1、2, Yaoshuo Sang1、2, Zhigang Li1、2, Long Zhang1、2, Ling Wang1, and Shu Wang1、2、*
Author Affiliations
  • 1Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China
  • 2Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230031, Anhui, China
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    DOI: 10.3788/LOP213226 Cite this Article Set citation alerts
    Yong Yang, Hao Dong, Yaoshuo Sang, Zhigang Li, Long Zhang, Ling Wang, Shu Wang. Raman Spectral Classification of Pathogenic Bacteria Based on Dense Connection Network Model[J]. Laser & Optoelectronics Progress, 2023, 60(1): 0130003 Copy Citation Text show less
    Structure of the dense connection block
    Fig. 1. Structure of the dense connection block
    Dense connection block of the Raman-net
    Fig. 2. Dense connection block of the Raman-net
    Structure of the Raman-net model
    Fig. 3. Structure of the Raman-net model
    Raman spectra of CSKP and CRKP
    Fig. 4. Raman spectra of CSKP and CRKP
    ModelAccuracy
    Raman-net84.26
    SVM79.13

    RF

    KNN

    63.80

    36.63

    Table 1. Classification accuracy of ordinary Raman spectra by different models
    Number of spectraRaman-netSVMRFKNN
    20075.0072.5065.0072.50
    40090.0087.5070.0077.50
    60096.6786.6780.8384.16
    80097.5088.1380.0083.13
    100098.0089.5083.5085.50
    120099.1689.5885.4287.92
    Table 2. Classification accuracy of surface-enhanced Raman spectra by different models
    Yong Yang, Hao Dong, Yaoshuo Sang, Zhigang Li, Long Zhang, Ling Wang, Shu Wang. Raman Spectral Classification of Pathogenic Bacteria Based on Dense Connection Network Model[J]. Laser & Optoelectronics Progress, 2023, 60(1): 0130003
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