Acta Optica Sinica, Volume. 41, Issue 9, 0910002(2021)
End-to-End Segmentation of Brain White Matter Hyperintensities Combining Attention and Inception Modules
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Fig. 2. Inception module. (a) Original Inception-ResNet-A module; (b) improved module
Fig. 4. Segmentation results of different improved models. (a) Ground truth; (b) UD; (c) UDIA; (d) UTIA
Fig. 5. Comparison of segmentation results between UTIA and Res-UNet. (a) GT; (b) ResU-Net; (c) UTIA
Fig. 6. Comparison of loss function curves under different conditions. (a) Model with residual connections; (b) model with no residual connections
Table 1. Comparison of evaluation indexes of different improved models
View tableTable 1. Comparison of evaluation indexes of different improved models
Model Recall Precision DSC UD 0.65 0.82 0.72 UDI* 0.63 0.77 0.74 UDI 0.67 0.85 0.75 UDA 0.70 0.84 0.76 UDIA 0.74 0.79 0.76 UT 0.69 0.77 0.72 UTI 0.76 0.74 0.75 UTA 0.74 0.79 0.76 UTIA 0.84 0.71 0.77
Table 2. Comparison of evaluation indexes between proposed method and other methods
View tableTable 2. Comparison of evaluation indexes between proposed method and other methods
Method Model Recall Precision DSC Ref. [7] Random forest 0.27 0.29 0.50 Ref. [12] MD-GRU 0.81 0.69 0.75 Ref. [16] Ensemble U-Net 0.84 0.76 0.80 Ref. [17] ResU-Net 0.83 0.70 0.78 Ref. [19] Multi-scale U-Net 0.86 0.76 0.80 Ref. [21] SC-UNet 0.81 0.70 0.78 Proposed method UTIA 0.84 0.71 0.77
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Xin Zhao, Xin Wang, Hongkai Wang. End-to-End Segmentation of Brain White Matter Hyperintensities Combining Attention and Inception Modules[J]. Acta Optica Sinica, 2021, 41(9): 0910002
Paper Information
Category: Image Processing
Received: Sep. 30, 2020
Accepted: Dec. 30, 2020
Published Online: May. 10, 2021
The Author Email: Zhao Xin (zhaoxin@dlu.edu.cn)
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