• Acta Optica Sinica
  • Vol. 38, Issue 6, 0617001 (2018)
Jian Du1、2, Bingliang Hu1、*, and Zhoufeng Zhang1
Author Affiliations
  • 1 Key Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi 710119, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/AOS201838.0617001 Cite this Article Set citation alerts
    Jian Du, Bingliang Hu, Zhoufeng Zhang. Gastric Carcinoma Classification Based on Convolutional Neural Network and Micro-Hyperspectral Imaging[J]. Acta Optica Sinica, 2018, 38(6): 0617001 Copy Citation Text show less
    Illustration of local connection
    Fig. 1. Illustration of local connection
    Flow chart of CNN modeling towards medical micro-hyperspectral data
    Fig. 2. Flow chart of CNN modeling towards medical micro-hyperspectral data
    Micro-hyperspectral imaging system
    Fig. 3. Micro-hyperspectral imaging system
    (a) Micro-hyperspectral data cube of gastric tissue; (b) schematic of pixel point spectrum curve extraction
    Fig. 4. (a) Micro-hyperspectral data cube of gastric tissue; (b) schematic of pixel point spectrum curve extraction
    Average spectra of gastric cancer tissue and normal tissue
    Fig. 5. Average spectra of gastric cancer tissue and normal tissue
    Variations of training loss and classification accuracy with the number of iterations
    Fig. 6. Variations of training loss and classification accuracy with the number of iterations
    SampleTraining setTest setSum
    Gastric cancer tissue800140940
    Normal tissue800140940
    Sum16002801880
    Table 1. Statistics of training and test sets of samples
    No.I1C2P3C4P5F6O7Accuracy /%
    NS)CNN-12008×51×216×51×2100292.50
    CNN-220010×71×4-100293.75
    CNN-320022×171×4-100296.53
    Table 2. Specific parameters of CNN classification model of gastric carcinoma slices
    ModelAccuracy /%Sensitivity /%Specificity /%
    NN89.1491.4388.57
    RBF-SVM92.6291.4393.57
    Our CNN96.5394.2997.14
    Table 3. Classification results obtained by three kinds of models
    Jian Du, Bingliang Hu, Zhoufeng Zhang. Gastric Carcinoma Classification Based on Convolutional Neural Network and Micro-Hyperspectral Imaging[J]. Acta Optica Sinica, 2018, 38(6): 0617001
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