Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1817001(2022)

Prediction Method for Common Diseases Based on Chest X-Ray Images

Jiangfeng Wang1, Lijun Liu1,2、*, Qingsong Huang1, Li Liu1, and Xiaodong Fu1
Author Affiliations
  • 1School of Information Engineering and Automation, Kunming University of science and technology, Kunming 650500, Yunnan , China
  • 2School of Information, Yunnan University, Kunming 650091, Yunnan , China
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    Figures & Tables(9)
    General framework of DFFM
    Channel attention sub module
    Spatial attention sub module
    Distribution of different tags in the MIMIC-CXR
    ROC curves and results on MIMIC-CXR dataset
    Comparison of AUC values of various diseases in different documents of MIMIC-CXR dataset
    Heat maps of lesion area generated by Grad-CAM
    • Table 1. Comparison of AUC values of different algorithms on ChestX-ray14 dataset

      View table

      Table 1. Comparison of AUC values of different algorithms on ChestX-ray14 dataset

      PathlolgyRajpurkar et alZhang C MDFFM
      Atelectasis0.7000.7890.820
      Cardiomegaly0.8140.9000.871
      Effusion0.7590.8380.808
      Infiltration0.6610.7080.906
      Tumor0.6930.8390.795
      Nodules0.6690.7980.839
      Pneumonia0.6580.7360.788
      Penumothorax0.7990.8770.721
      Consolidation0.7030.7630.890
      Edema0.8050.8510.899
      Emphysema0.8330.9380.916
      Fibrosis0.7860.8320.707
      Pleural Thickening0.6840.8040.830
      Fracture0.8710.9440.877
      Average0.7450.8300.833
    • Table 2. Comparison of AUC values of different algorithms on MIMIC-CXR dataset

      View table

      Table 2. Comparison of AUC values of different algorithms on MIMIC-CXR dataset

      PathlolgyResNetDenseNetRubin et alWang et alDFFM
      Atelectasis0.6950.6870.7660.8260.822
      Cardiomegaly0.7420.7270.8400.8790.864
      Lung Opacity0.7670.7320.6320.9060.834
      Edema0.9010.8800.7340.8850.917
      Pleural Effusion0.7260.6460.7570.7250.812
      Infiltration0.5100.4680.7610.6320.788
      Fracture0.7350.6170.8150.6430.771
      Lung Lesion0.7010.7040.7480.7750.788
      Support Devices0.7820.7800.6920.7750.877
      No Finding0.8780.8720.7580.9420.909
      Consolidation0.6320.6150.5680.7050.888
      Pleural Thickening0.6170.6090.6870.8710.763
      Pneumonia0.8590.8390.6250.8330.923
      Pneumothorax0.8080.8910.7060.7290.895
      Average0.7390.7190.7210.7940.847
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    Jiangfeng Wang, Lijun Liu, Qingsong Huang, Li Liu, Xiaodong Fu. Prediction Method for Common Diseases Based on Chest X-Ray Images[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1817001

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Jun. 2, 2021

    Accepted: Jul. 12, 2021

    Published Online: Aug. 22, 2022

    The Author Email: Liu Lijun (cloneiq@126.com)

    DOI:10.3788/LOP202259.1817001

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