Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0210010(2022)

Lung Field Segmentation Algorithm Based on Improved U-Net

Sanli Yi1,2, Tianwei Wang1,2, Xuelian Yang1,2, Furong She1,2, and Jianfeng He1,2、*
Author Affiliations
  • 1School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming , Yunnan 650500, China
  • 2Key Laboratory of Computer Technology Application of Yunnan Province, Kunming , Yunnan 650500, China
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    Figures & Tables(10)
    Structure of the inception module
    Structure of the residual module
    Structure of the skip connection
    Structure of the scSE module
    Sructure of the improved U-Net
    Flow chart of our algorithm
    Segmentation results of different algorithms. (a) Original image; (b) label; (c) ENet; (d) U-Net; (e) our algorithm
    AUC of different algorithms
    • Table 1. Segmentation results of different algorithms

      View table

      Table 1. Segmentation results of different algorithms

      AlgorithmAccuracyRecallSpecificityMIoU
      ET-Net98.65--94.20
      ENet98.5796.6799.1896.20
      U-Net98.5996.8199.1896.33
      Ours98.9097.8199.2897.17
    • Table 2. Comparison of segmentation results of different algorithms

      View table

      Table 2. Comparison of segmentation results of different algorithms

      AlgorithmAccuracyRecallSpecificityMIoU
      ET-Net98.6896.23
      CE-Net2399.0098.00
      Ours99.5298.8699.7498.73
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    Sanli Yi, Tianwei Wang, Xuelian Yang, Furong She, Jianfeng He. Lung Field Segmentation Algorithm Based on Improved U-Net[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210010

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    Paper Information

    Category: Image Processing

    Received: Dec. 27, 2020

    Accepted: Mar. 11, 2021

    Published Online: Dec. 23, 2021

    The Author Email: Jianfeng He (120112624@qq.com)

    DOI:10.3788/LOP202259.0210010

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