• Laser & Optoelectronics Progress
  • Vol. 59, Issue 6, 0617017 (2022)
Lingxiao Wang1, Jun Yang1, Wensai Wang1, and Ting Li1、2、*
Author Affiliations
  • 1Institute of Biomedical Engineering, Chinese Academy of Medical Sciences, Tianjin 300192, China
  • 2Chinese Institute for Brain Research, Beijing, Beijing 102206, China
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    DOI: 10.3788/LOP202259.0617017 Cite this Article Set citation alerts
    Lingxiao Wang, Jun Yang, Wensai Wang, Ting Li. Automatic Detection of Retinal Diseases Based on Lightweight Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2022, 59(6): 0617017 Copy Citation Text show less
    Sample image examples. (a) CNV; (b) DME; (c) DRUSEN; (d) NORMAL
    Fig. 1. Sample image examples. (a) CNV; (b) DME; (c) DRUSEN; (d) NORMAL
    Schematic diagrams of module structure . (a) Dilated SepConv ; (b) Residual Unit
    Fig. 2. Schematic diagrams of module structure . (a) Dilated SepConv ; (b) Residual Unit
    Schematic diagram of proposed model structure
    Fig. 3. Schematic diagram of proposed model structure
    ROC curves of proposed model. (a) ROC curve; (b) partial enlarged view
    Fig. 4. ROC curves of proposed model. (a) ROC curve; (b) partial enlarged view
    CAM. (a) CNV; (b) DME; (c) DRUSEN
    Fig. 5. CAM. (a) CNV; (b) DME; (c) DRUSEN
    CategoryTraining datasetValidation datasetTesting datasetTotal
    CNV33485372025037205
    DME10214113425011348
    DRUSEN77558612508616
    NORMAL46026511425051140
    Total97480108291000109309
    Table 1. Segmentation of retinal OCT image dataset
    CategoryAccuracySensitivitySpecificity
    CNV0.9661.0000.947
    DME0.9860.9441.000
    DRUSEN0.9680.8721.000
    NORMAL1.0001.0001.000
    Table 2. Classification results of proposed model for various retinal images
    ModelOv-AccOv-SeOv-SpLayersParameter Count /MBRatio
    Human Expert120.9210.9940.943
    VGG 16140.9860.97816138.38.6
    RongheNet230.9720.970654.59.1
    Inception V3120.9660.9780.9744223.60.6
    Proposed model0.9800.9540.987449.20.2
    Table 3. Overall evaluation results of different classification models
    Lingxiao Wang, Jun Yang, Wensai Wang, Ting Li. Automatic Detection of Retinal Diseases Based on Lightweight Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2022, 59(6): 0617017
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