• Laser & Optoelectronics Progress
  • Vol. 60, Issue 14, 1410008 (2023)
Junhao Yang, Zhiqing Ma*, Guohui Wei, and Shuang Zhao
Author Affiliations
  • College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
  • show less
    DOI: 10.3788/LOP221774 Cite this Article Set citation alerts
    Junhao Yang, Zhiqing Ma, Guohui Wei, Shuang Zhao. Recognition and Classification of Childhood Pneumonia Based on Improved Inception-ResNet-v2[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1410008 Copy Citation Text show less
    Inception-ResNet-v2 model
    Fig. 1. Inception-ResNet-v2 model
    Improved Inception-ResNet-v2 model
    Fig. 2. Improved Inception-ResNet-v2 model
    MS_CAM structure
    Fig. 3. MS_CAM structure
    IAFF structure
    Fig. 4. IAFF structure
    Improved stem module
    Fig. 5. Improved stem module
    Sample dataset. (a) Bacterial pneumonia; (b) viral pneumonia; (c) normal
    Fig. 6. Sample dataset. (a) Bacterial pneumonia; (b) viral pneumonia; (c) normal
    CategoryType of pneumoniaQuantity
    0Bacterial pneumonia2780
    1Normal1583
    2Viral pneumonia1493
    Table 1. Number of grades of pneumonia in children
    Category012
    0260543
    131512
    228292
    Table 2. Classification confusion matrix of fusion iteration attention feature fusion module and improved Inception-ResNet-v2
    MethodRaccuracy /%
    Teacher module94.87
    Method of reference[1096.39
    GIV396.77
    Proposed method97.9
    Table 3. Comparison of two classification experiments
    MethodCategoryRaccuracy /%Rprecision /%Rrecall /%Rspecificity /%
    VGG16bacteria79.582.176.485.8
    normal94.293.897.7
    virus61.068.083.8
    ResNet50bacteria81.379.880.281.9
    normal93.394.697.3
    virus66.363.488.7
    Inception-v3bacteria82.280.786.082.7
    normal95.195.798.1
    virus66.662.891.0
    Inception-ResNet-v1bacteria78.876.786.076.2
    normal94.393.698.2
    virus67.754.289.8
    Inception-ResNet-v2bacteria79.177.486.078.4
    normal91.974.297.0
    virus67.252.890.4
    Proposed methodbacteria85.884.489.383.7
    normal96.895.698.8
    virus75.467.2%93.3%
    Table 4. Comparison of experimental results
    NumberMethodRaccuracy /%Rprecision /%Rrecall /%Rspecificity /%
    Experiment 1Inception-ResNet-v279.178.878.488.6
    Experiment 2Inception-ResNet-v2+SiLU82.381.38290.4
    Experiment 3Inception-ResNet-v2+new stem83.483.683.390.7
    Experiment 4Inception-ResNet-v2+MS_CAM83.082.282.290.8
    Experiment 5Proposed method85.885.584.095.2
    Table 5. Comparison of ablation experiment results
    MethodRaccuracy /%
    Method of reference[3193.0
    Method of reference[3097.0
    Proposed method98.9
    Table 6. Comparison of experimental results of the COVID-19 dataset
    Junhao Yang, Zhiqing Ma, Guohui Wei, Shuang Zhao. Recognition and Classification of Childhood Pneumonia Based on Improved Inception-ResNet-v2[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1410008
    Download Citation