Abstract | ||
---|---|---|
•A specialized segmentation model that can address blurry or occluded edges in ultrasound images.•A differentiable boundary selection module that can automatically focus on the marginal area.•A GCN-based boundary rendering module that can incorporate global contour information.•A unified framework that can perform segmentation and classification simultaneously. |
Year | DOI | Venue |
---|---|---|
2022 | 10.1016/j.media.2022.102478 | Medical Image Analysis |
Keywords | DocType | Volume |
Segmentation,Ultrasound,Breast cancer,Graph-convolution network | Journal | 80 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ruobing Huang | 1 | 3 | 3.78 |
Mingrong Lin | 2 | 0 | 0.34 |
Haoran Dou | 3 | 0 | 1.69 |
Zehui Lin | 4 | 5 | 2.82 |
Qilong Ying | 5 | 0 | 0.34 |
Xiaohong Jia | 6 | 0 | 0.68 |
Wenwen Xu | 7 | 0 | 0.68 |
Zihan Mei | 8 | 0 | 0.68 |
Xin Yang | 9 | 79 | 9.59 |
Yijie Dong | 10 | 0 | 0.68 |
Jianqiao Zhou | 11 | 0 | 1.01 |
Dong Ni | 12 | 137 | 20.07 |