Laser & Optoelectronics Progress, Volume. 57, Issue 14, 141020(2020)

Application of Improved Convolutional Neural Network in Medical Image Segmentation

Qipeng Ma, Linbo Xie*, and Li Peng
Author Affiliations
  • School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    Figures & Tables(10)
    Structural diagram of DenseBlock
    Dilated convolutions under different dilation rates when convolution kernel is 3×3. (a) Dilation rate is 1; (b) dilation rate is 2
    Iterative process of CRF
    Structure of CRF-RNN
    DenseU-net-CRFRNN model
    Four modal slice images. (a) T1 modal slice image; (b) T1c modal slice image; (c) T2 modal slice image; (d) Flair modal slice image
    Comparison between results segmented by different models and annotations of experts. (a) Two-dimensional brain tumor slices; (b) annotations of experts; (c) results segmented by DenseU-net model; (d) results segmented by DenseU-net-CRFRNN model
    Segmentation result of DenseU-net model
    Segmentation result of DenseU-net-CRFRNN model
    • Table 1. Accuracy comparison of different methods

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      Table 1. Accuracy comparison of different methods

      MethodDSCSENPPV
      Method 1[9]0.85820.80460.8412
      Method 2[10]0.87690.89620.8825
      DenseU-net0.83660.84090.8491
      DenseU-net-CRFRNN0.91640.90340.9144
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    Qipeng Ma, Linbo Xie, Li Peng. Application of Improved Convolutional Neural Network in Medical Image Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141020

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    Paper Information

    Category: Image Processing

    Received: Nov. 1, 2019

    Accepted: Dec. 17, 2019

    Published Online: Jul. 28, 2020

    The Author Email: Linbo Xie (xie_linbo@jiangnan.edu.cn)

    DOI:10.3788/LOP57.141020

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