Name
Title | ||
|---|---|---|
Brain segmentation based on multi-atlas and diffeomorphism guided 3D fully convolutional network ensembles |
Abstract | ||
|---|---|---|
•We proposed a 3D CNN approach for brain structures segmentation that combines convolutional and multi-atlas features.•An adaptive size of 3D ROI patches sampling technique to force the CNN to sufficiently learn the specific ROIs is presented. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2021.107904 | Pattern Recognition |
Keywords | DocType | Volume |
Brain segmentation,Fully convolutional network,Multi-atlas,Diffeomorphism,Adaptive-size patches,Ensemble model | Journal | 115 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiong Wu | 1 | 5 | 1.96 |
| Xiaoying Tang | 2 | 8 | 8.79 |