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Feature-Based Morphometry: Discovering Group-related Anatomical Patterns
This paper presents feature-based morphometry (FBM), a new, fully data-driven technique for discovering patterns of group-related anatomical structure in volumetric imagery. In contrast to most morphometry methods which assume one-to-one correspondence between subjects, FBM explicitly aims to identi...
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| 出版年: | Neuroimage |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2009
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4321966/ https://ncbi.nlm.nih.gov/pubmed/19853047 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.10.032 |
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