Name
Title | ||
|---|---|---|
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. |
Abstract | ||
|---|---|---|
•Validation of silver standard masks for skull-strippping CNN training.•First deep-learning-based method to be fully trained with silver standard masks.•Elimination of the cost associated with manual annotation.•Our proposed method is generalizable.•We have a completely open-source code and will be made publicly available. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.artmed.2019.06.008 | Artificial Intelligence in Medicine |
Keywords | Field | DocType |
Silver standard masks,Convolutional neural network (CNN),Skull-stripping,Data augmentation | Data mining,Brain atlas,Pattern recognition,Sørensen–Dice coefficient,Convolutional neural network,Computer science,Medical imaging,Segmentation,Artificial intelligence,Probabilistic logic,Deep learning,Overfitting | Journal |
Volume | ISSN | Citations |
98 | 0933-3657 | 2 |
PageRank | References | Authors |
0.37 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oeslle Lucena | 1 | 2 | 0.37 |
| Roberto Souza | 2 | 72 | 9.78 |
| Leticia Rittner | 3 | 82 | 12.95 |
| Richard Frayne | 4 | 39 | 8.71 |
| Roberto Lotufo | 5 | 25 | 2.97 |