ロード中...
Markov Random Field-based Fitting of a Subdivision-based Geometric Atlas
An accurate labeling of a multi-part, complex anatomical structure (e.g., brain) is required in order to compare data across images for spatial analysis. It can be achieved by fitting an object-specific geometric atlas that is constructed using a partitioned, high-resolution deformable mesh and tagg...
保存先:
| 出版年: | Proc IEEE Int Conf Comput Vis |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2011
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4639324/ https://ncbi.nlm.nih.gov/pubmed/26561477 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICCV.2011.6126541 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|