• Laser & Optoelectronics Progress
  • Vol. 57, Issue 8, 081020 (2020)
Wuhua Zhang, Qiang Li*, and Xin Guan
Author Affiliations
  • School of Microelectronics, Tianjin University, Tianjin 300072, China
  • show less
    DOI: 10.3788/LOP57.081020 Cite this Article Set citation alerts
    Wuhua Zhang, Qiang Li, Xin Guan. Detection of Pneumonia Lesions in X-Ray Images Based on Multi-Scale Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081020 Copy Citation Text show less
    Block of squeeze and excitation
    Fig. 1. Block of squeeze and excitation
    Structure diagram of residual block. (a) Original residual block; (b) SE residual block
    Fig. 2. Structure diagram of residual block. (a) Original residual block; (b) SE residual block
    Structure diagram of SE-RetinaNet
    Fig. 3. Structure diagram of SE-RetinaNet
    Comparison of SE-RetinaNet and RetinaNet network parameters
    Fig. 4. Comparison of SE-RetinaNet and RetinaNet network parameters
    Statistics of pneumonia lesion data distribution information
    Fig. 5. Statistics of pneumonia lesion data distribution information
    Pre-processing of chest X-ray images
    Fig. 6. Pre-processing of chest X-ray images
    Chest X-ray image gray histogram. (a) Original image; (b) after using CLAHE method
    Fig. 7. Chest X-ray image gray histogram. (a) Original image; (b) after using CLAHE method
    P-R curves of different algorithms on the pneumonia dataset. (a)(b) P-R curves with IoU threshold of 0.25. (c)(d) P-R curves with IoU threshold of 0.5
    Fig. 8. P-R curves of different algorithms on the pneumonia dataset. (a)(b) P-R curves with IoU threshold of 0.25. (c)(d) P-R curves with IoU threshold of 0.5
    Data setImageSizeInstance
    Training10260224×22416242
    Validation530224×224868
    Testing617224×2241000
    Table 2. Statistics of data set information
    NetworkBackboneAP /%@0.25AP /%@0.5Speed /s
    HOG+SVM_49.3331.110.1123
    SSDVGG1673.8836.420.0312
    YOLOv3DarkNet74.3038.640.0238
    Faster R-CNNResNet-5079.1245.910.0588
    Faster R-CNNResNet-10178.4143.100.0833
    RetinaNetResNet-5078.7348.870.0526
    RetinaNetResNet-10180.8946.540.0769
    SE-RetinaNetSE-ResNet-5082.5249.960.0588
    SE-RetinaNetSE-ResNet-10181.5148.880.1000
    Table 3. Performance comparison of different detection networks in the pneumonia detection
    Network_1Network_2AP /%@0.25AP /%@0.5Speed /s
    RetinaNet50RetinaNet10188.2057.210.1295
    SE-RetinaNet50SE-RetinaNet10187.1654.500.1588
    RetinaNet50SE-RetinaNet5086.5954.460.1114
    RetinaNet101SE-RetinaNet10189.0857.640.1769
    Table 4. Performance comparison of different combined models in the pneumonia detection
    Wuhua Zhang, Qiang Li, Xin Guan. Detection of Pneumonia Lesions in X-Ray Images Based on Multi-Scale Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081020
    Download Citation