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Laser & Optoelectronics Progress, Volume. 60, Issue 14, 1410001(2023)

Coronavirus Disease X-Ray Image Diagnosis Method Based on ConvNeXt Network

Shuai Zhang1, Junzhong Zhang2, Hui Cao1、*, Dawei Qiu1、**, and Xurui Ji1
Author Affiliations
  • 1College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
  • 2First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (14)
    Equations (19)
    References (33)
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    Paper Information
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    Figures & Tables(14)
    GlstNet framework structure

    Fig. 1. GlstNet framework structure

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    LSTM network structure

    Fig. 2. LSTM network structure

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    CNN-LSTM network structure

    Fig. 3. CNN-LSTM network structure

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    Confusion matrix for the test set on dataset I

    Fig. 4. Confusion matrix for the test set on dataset I

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    GlstNet accuracy change curve with confusion matrix

    Fig. 5. GlstNet accuracy change curve with confusion matrix

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    GlstNet network confusion matrix on Chest X-ray validation set

    Fig. 6. GlstNet network confusion matrix on Chest X-ray validation set

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    Score-CAM visualization results

    Fig. 7. Score-CAM visualization results

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    • Table 1. Division of dataset I

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      Table 1. Division of dataset I

      DatasetTypeTotalTraining imageValidation imageTest image
      COVID-19 Radiography Databasecovid36162314578724
      normal8851566414161771
      lung_opacity601238479621203

    • Table 2. Division of dataset Ⅱ

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      Table 2. Division of dataset Ⅱ

      DatasetTypeTotalTraining imageValidation image
      Chest X-raycovid576460116
      normal15831266317
      pneumonia42733418855

    • Table 3. Test set metrics on dataset I

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      Table 3. Test set metrics on dataset I

      No.ModelRaccuracy /%Rprecision /%Rrecall /%ΔRaccuracy/%
      1Baseline94.0094.8094.00
      2Baseline+CBAM92.0092.8091.50↓2.0
      3Baseline+GCT+SA90.5091.2089.90↓4.0
      4Baseline+ST+MCSA92.8093.2092.63↓1.2
      5Baseline+CGMB95.0095.7095.00↑1.0
      6GlstNet95.6096.0395.76↑1.6

    • Table 4. Comparison of GlstNet network with mainstream algorithms

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      Table 4. Comparison of GlstNet network with mainstream algorithms

      ModelRaccuracy /%Rprecision /%Rrecall /%
      ResNet18［27］93.4393.4393.43
      ResNet50［27］93.0193.1293.02
      ResNet101［27］93.0193.0493.01
      ChexNet［27］93.2193.2893.21
      DenseNet201［27］92.7092.7892.70
      InceptionV3［27］93.4693.4993.47
      ConvNeXt94.0094.8094.00
      Vision Transformer94.6495.2394.63
      Swim Transformer95.1895.6695.23
      GlstNet95.6096.0395.76

    • Table 5. Performance metrics for three categories on the validation set of dataset Ⅰ

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      Table 5. Performance metrics for three categories on the validation set of dataset Ⅰ

      TypeRaccuracy /%Rprecision /%Rrecall /%
      covid98.5097.5099.60
      normal94.1093.8097.20
      lung_opacity95.5096.0095.80

    • Table 6. Comparison of GlstNet with mainstream algorithms

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      Table 6. Comparison of GlstNet with mainstream algorithms

      ModelRaccuracy /%Rprecision /%Rrecall /%
      ALEXNET CNN［30］94.7094.0094.00
      LENET CNN［30］93.2093.0093.00
      DenseNet-169［30］95.70
      ResNet-50［31］93.30
      DenseNet［32］95.0394.9194.24
      EfficientNet［32］93.4093.6291.07
      VGG-16［32］92.0892.0292.77
      GlstNet97.2097.0397.60

    • Table 7. Performance metrics for three categories on the validation set of dataset II

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      Table 7. Performance metrics for three categories on the validation set of dataset II

      TypeRaccuracy/%Rprecision /%Rrecall /%
      covid100.0099.10100.00
      normal92.4096.5097.40
      pneumonia98.7097.2097.50
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    Shuai Zhang, Junzhong Zhang, Hui Cao, Dawei Qiu, Xurui Ji. Coronavirus Disease X-Ray Image Diagnosis Method Based on ConvNeXt Network[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1410001

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    Paper Information

    Category: Image Processing

    Received: Jul. 21, 2022

    Accepted: Aug. 20, 2022

    Published Online: Jul. 17, 2023

    The Author Email: Cao Hui (caohui63@163.com), Qiu Dawei (dwqiu@foxmail.com)

    DOI:10.3788/LOP222126

    Topics

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