• Optics and Precision Engineering
  • Vol. 31, Issue 23, 3482 (2023)
Wenbo HUANG*, Chaofan QU, and Yang YAN
Author Affiliations
  • School of Computer Science and Technology, Changchun Normal University,Changchun130032, China
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    DOI: 10.37188/OPE.20233123.3482 Cite this Article
    Wenbo HUANG, Chaofan QU, Yang YAN. Automatic segmentation of choroid by TransGLnet integrating attention mechanism[J]. Optics and Precision Engineering, 2023, 31(23): 3482 Copy Citation Text show less
    Overall framework of TransGLnet
    Fig. 1. Overall framework of TransGLnet
    Structure of global attention module
    Fig. 2. Structure of global attention module
    Process of local attention module
    Fig. 3. Process of local attention module
    Schematic of feature fusion process
    Fig. 4. Schematic of feature fusion process
    Choroidal labeling process
    Fig. 5. Choroidal labeling process
    Visualization of choroid segmentation example results
    Fig. 6. Visualization of choroid segmentation example results
    Visualization of results of lung segmentation example
    Fig. 7. Visualization of results of lung segmentation example
    Ablation experiment results
    Fig. 8. Ablation experiment results
    NetDiceAccMIOUF1_scoreHD
    U-Net0.870.970.870.878.34
    AttU-Net0.860.970.860.868.43
    R2U-Net0.880.970.880.887.25
    R2AU-Net0.870.970.880.877.79
    TransUnet0.810.960.830.9010.32
    Swin-Unet0.860.970.860.868.41
    Ours0.910.980.890.916.56
    Table 1. Comparison of choroid segmentation results among different networks
    Wenbo HUANG, Chaofan QU, Yang YAN. Automatic segmentation of choroid by TransGLnet integrating attention mechanism[J]. Optics and Precision Engineering, 2023, 31(23): 3482
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