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An Optimal, Generative Model for Estimating Multi-Label Probabilistic Maps
Multi-label probabilistic maps, a.k.a. probabilistic segmentations, parameterize a population of intimately coexisting anatomical shapes and are useful for various medical imaging applications, such as segmentation, anatomical atlases, shape analysis, and consensus generation. Existing methods to es...
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| 出版年: | IEEE Trans Med Imaging |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7395849/ https://ncbi.nlm.nih.gov/pubmed/31985415 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.2968917 |
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