Acta Optica Sinica, Volume. 41, Issue 3, 0310002(2021)
An Improved Three-Dimensional Dual-Path Brain Tumor Image Segmentation Network
Figures & Tables(9)
Fig. 4. Comparison diagram of three convolutions. (a) Conventional convolution; (b) group convolution; (c) group convolution with channel random mixing module
Fig. 7. Comparison of segmentation results. (a) Flair; (b) GT; (c) 3D-ESPNet; (d) DMFNet; (e) DPN-MS
Table 1. Comparison of different parameters in brain tumor image segmentation
View tableTable 1. Comparison of different parameters in brain tumor image segmentation
Penalties Dsc /% DHD ET WT TC ET WT TC α=0.5,β=0.5 80.56 90.23 86.28 2.91 3.97 5.65 α=0.4,β=0.6 79.23 89.89 85.02 2.50 5.11 6.05 α=0.3,β=0.7 80.16 89.92 84.59 2.43 3.92 6.21 α=0.2,β=0.8 80.30 90.02 84.06 2.58 4.15 6.38 α=0.1,β=0.9 79.09 89.48 82.16 2.63 4.14 7.86
Table 2. Comparison of different algorithms in brain tumor image segmentation
View tableTable 2. Comparison of different algorithms in brain tumor image segmentation
Model P /M OFP /G Dsc /% DHD ET WT TC ET WT TC 3D-UNet[ 8 ]16.21 1669.53 75.96 88.53 71.77 6.04 17.10 11.62 3D-ESPNet[ 12 ]3.63 76.51 73.70 88.30 81.40 - - - DeepMedic[ 19 ]9.45 203.96 78.75 90.47 81.35 3.81 4.32 7.56 MFNet[ 11 ]3.19 20.61 79.91 90.43 84.61 2.68 4.68 6.31 DMFNet[ 11 ]3.88 27.04 80.12 90.62 84.54 3.06 4.66 6.44 NVDLMED[ 20 ]40.06 1495.50 81.73 90.68 86.02 3.82 4.52 6.85 DPN-MS 6.09 25.21 80.56 90.23 86.28 2.91 3.97 5.65
Tools
Get Citation
Copy Citation Text
Hengliang Zhang, Qiang Li, Xin Guan. An Improved Three-Dimensional Dual-Path Brain Tumor Image Segmentation Network[J]. Acta Optica Sinica, 2021, 41(3): 0310002
Paper Information
Category: Image Processing
Received: Aug. 10, 2020
Accepted: Sep. 15, 2020
Published Online: Feb. 28, 2021
The Author Email: Li Qiang (liqiang@tju.edu.cn)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20