Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0810020(2021)

A Method for Brain Tumor Segmentation Using Cascaded Modified U-Net

Jinghui Chu, Kailong Huang, and Wei Lü*
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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    Figures & Tables(9)
    Three stages cascaded architecture
    Multi-levels feature maps fusing
    Dilated convolution
    Condition random fields as recurrent neural network
    Modified U-Net structure
    Different modalities of MRI and label images
    Results of segmentation
    • Table 1. Dice scores and Hausdorff distances on BraTS 2018 validation set (66 cases) with different methods

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      Table 1. Dice scores and Hausdorff distances on BraTS 2018 validation set (66 cases) with different methods

      ModelDiceWTDiceTCDiceETHDWTHDTCHDET
      Base0.891500.801730.7779814.900348.638815.17406
      Base+DC0.902980.819790.775628.077728.349645.23973
      Base+DC+MFF0.905870.820190.786395.728048.425804.39199
      Base+DC+MFF(Dice+CE)0.907490.820530.779835.519818.678493.06801
      Base+DC+MFF+CRF(Dice+CE)0.909320.825360.785493.818777.848734.32642
    • Table 2. Performance comparison of segmentation methods on BraTS 2018 validation set (66 cases)

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      Table 2. Performance comparison of segmentation methods on BraTS 2018 validation set (66 cases)

      ModelDice WTDice TCDice ETHD WTHD TCHD ET
      Ours0.909320.825360.785493.818777.848734.32642
      Myronenko[12] (single model)0.90420.85960.81454.48348.27773.8048
      Mehta et al[28] (ensembles)0.90920.85300.81374.45197.15352.7092
      Mehta et al[28]0.9090.8250.7884.9238.3163.520
      Wang et al[27]0.9080.8690.8075.866.093.01
      Hua et al[29]0.90480.83640.77685.17596.27803.5123
      McKinley et al[26]0.9030.8470.7964.174.933.55
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    Jinghui Chu, Kailong Huang, Wei Lü. A Method for Brain Tumor Segmentation Using Cascaded Modified U-Net[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810020

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    Paper Information

    Category: Image Processing

    Received: Aug. 24, 2020

    Accepted: Sep. 20, 2020

    Published Online: Apr. 12, 2021

    The Author Email: Wei Lü (luwei@tju.edu.cn)

    DOI:10.3788/LOP202158.0810020

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