Загрузка...
Towards Effcient Label Fusion by Pre-Alignment of Training Data
Label fusion is a multi-atlas segmentation approach that explicitly maintains and exploits the entire training dataset, rather than a parametric summary of it. Recent empirical evidence suggests that label fusion can achieve significantly better segmentation accuracy over classical parametric atlas...
Сохранить в:
| Главные авторы: | , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2011
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3958940/ https://ncbi.nlm.nih.gov/pubmed/24660167 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|