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OPTIMAL PARAMETER MAP ESTIMATION FOR SHAPE REPRESENTATION: A GENERATIVE APPROACH
Probabilistic label maps are a useful tool for important medical image analysis tasks such as segmentation, shape analysis, and atlas building. Existing methods typically rely on blurred signed distance maps or smoothed label maps to model uncertainties and shape variabilities, which do not conform...
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| 出版年: | Proc IEEE Int Symp Biomed Imaging |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5228593/ https://ncbi.nlm.nih.gov/pubmed/28090247 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2016.7493353 |
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