Fei Gao, Bin Yan, Jian Chen, Kai Qiao, Peigang Ning, Dapeng Shi. Liver Tumor Segmentation Based on Dilated Convolution of Stacked Tree Aggregation Structure[J]. Acta Optica Sinica, 2021, 41(18): 1810002
- Acta Optica Sinica
- Vol. 41, Issue 18, 1810002 (2021)
Fig. 1. Structure of the RDB
Fig. 2. Dilated convolution operation of r=2 is performed in sequence. (a) First time; (b) second time; (c) third time
Fig. 3. Segmentation results of the dilated convolution. (a) Original image; (b) ground truth; (c) grid artifact
Fig. 4. Dilated convolution operations with different dilated rates in sequence. (a) r=1; (b) r=2; (c) r=3
Fig. 5. Structure of the TASD module
Fig. 6. Framework of the segmentation network
Fig. 7. Manually annotated image data
Fig. 8. Result of image enhancement. (a) Original image; (b) flip up and down; (c) flip left and right; (d) clockwise rotate 90°; (e) counterclockwise rotate 90°; (f) random zoom and rotate 1; (g) random zoom and rotate 2; (h) random room and rotate 3
Fig. 9. Statistics of the tumor size
Fig. 10. Segmentation results of our algorithm and traditional segmentation algorithm. (a) Original image; (b) region growth; (c) graph cut segmentation; (d) level set segmentation; (e) our algorithm; (g) ground truth
Fig. 11. Segmentation results of our algorithm and deep learning segmentation algorithm. (a) Original image; (b) UNet; (c) SegNet; (d) DeepLabv3; (e) FC-DenseNet; (f) our algorithm; (g) ground truth
Fig. 12. Effect of different modules on segmentation performance. (a) Original image; (b) CEL function; (c) remove RDB; (d) remove TASD module; (e) our algorithm; (f) ground truth
|
Table 1. Segmentation results of our algorithm and traditional algorithms
|
Table 2. Segmentation results of our algorithm and deep learning segmentation algorithm
| |||||||||||||||||||||||||||||||||||||||
Table 3. Effect of different modules on segmentation performance
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20