Acta Photonica Sinica, Volume. 52, Issue 12, 1210001(2023)

Classification Method of Breast Tissue OCT Images Based on a Double Filtering Residual Network

Lihao DING... Zhishan GAO, Dan ZHU*, Qun YUAN and Zhenyan GUO |Show fewer author(s)
Author Affiliations
  • School of Electronic Engineering and Optoelectronic Technology,Nanjing University of Science and Technology,Nanjing 210094,China
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    Figures & Tables(11)
    DF-ResNet model workflow
    Three types of raw data images
    Effect of α parameters on model performance
    Training curve for model performance
    ROC curve of DF-ResNet model
    The thermodynamic diagram of the two models
    Bar chart of model parameter quantity and classification accuracy
    • Table 1. Detailed system parameters

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      Table 1. Detailed system parameters

      NameIndicator
      SystemWindows 11
      Memory32 GB
      Central processing unitAMD Ryzen 7 5800H(3.20 GHz)
      Graphics processing unitNVIDIA RTX3070 GPU
    • Table 2. Comparison of performance among three models

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      Table 2. Comparison of performance among three models

      MethodImagesSenSpePPVNNPAccuracy
      ResNet-28FB0.987 50.995 30.990 60.993 80.938 5
      S0.878 10.971 90.939 80.941 0
      T0.950 00.940 60.888 90.974 1
      Oct_ResNet-28FB0.987 50.987 50.975 30.993 70.954 2
      S0.915 60.976 60.951 30.958 6
      T0.959 40.967 20.936 00.979 4
      DF-ResNetFB0.990 60.992 20.984 50.995 30.968 8
      S0.946 90.981 30.961 90.973 6
      T0.968 80.979 70.959 80.984 3
    • Table 3. The recognition and classification performance of DF-ResNet on a new dataset

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      Table 3. The recognition and classification performance of DF-ResNet on a new dataset

      MethodImagesSenSpePPVNNPAccuracy
      DF-ResNetFB1.0001.0001.0001.0000.941 2
      S0.882 00.971 00.938 00.943 0
      T0.941 00.941 00.889 00.970 0
    • Table 4. model parameter quantity and classification accuracy

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      Table 4. model parameter quantity and classification accuracy

      MethodAccuracyParameter quantity/MiB
      VGG-190.793 9143.7
      EfficientNet0.916 75.290
      ResNet-280.938 519.14
      DenseNet-1690.957 214.15
      Oct_ResNet-280.954 215.99
      DF-ResNet0.968 816.52
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    Lihao DING, Zhishan GAO, Dan ZHU, Qun YUAN, Zhenyan GUO. Classification Method of Breast Tissue OCT Images Based on a Double Filtering Residual Network[J]. Acta Photonica Sinica, 2023, 52(12): 1210001

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    Paper Information

    Category:

    Received: May. 10, 2023

    Accepted: Jul. 26, 2023

    Published Online: Feb. 19, 2024

    The Author Email: ZHU Dan (danzhu@njust.edu.cn)

    DOI:10.3788/gzxb20235212.1210001

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