Name
Title | ||
|---|---|---|
Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. |
Abstract | ||
|---|---|---|
•First employment of CNN segmentation on multiparametric MR images for a large VS cohort.•Two-pathways U-Net could effectively segment VS from anisotropic multiparametric MR images.•Segment VSs with both solid and cystic parts using multiparametric images. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.artmed.2020.101911 | Artificial Intelligence in Medicine |
Keywords | DocType | Volume |
Magnetic resonance imaging,Vestibular schwannoma,gamma knife,Convolutional neural network | Journal | 107 |
ISSN | Citations | PageRank |
0933-3657 | 0 | 0.34 |
References | Authors | |
0 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Kai Lee | 1 | 0 | 0.34 |
| Chih-Chun Wu | 2 | 0 | 0.34 |
| Cheng-Chia Lee | 3 | 17 | 2.21 |
| Chia-Feng Lu | 4 | 6 | 2.43 |
| Huai-Che Yang | 5 | 0 | 0.34 |
| Tzu-Hsuan Huang | 6 | 0 | 0.34 |
| Chun-Yi Lin | 7 | 0 | 0.34 |
| Wen-Yuh Chung | 8 | 0 | 0.34 |
| Po-Shan Wang | 9 | 19 | 4.05 |
| Hsiu-Mei Wu | 10 | 0 | 0.34 |
| Wan-Yuo Guo | 11 | 19 | 4.66 |
| Yu-Te Wu | 12 | 186 | 28.14 |