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Combining Spatial Priors and Anatomical Information for fMRI Detection
In this paper, we analyze Markov Random Field (MRF) as a spatial regularizer in fMRI detection. The low signal-to-noise ratio (SNR) in fMRI images presents a serious challenge for detection algorithms, making regularization necessary to achieve good detection accuracy. Gaussian smoothing, traditiona...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2010
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3786450/ https://ncbi.nlm.nih.gov/pubmed/20362488 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2010.02.007 |
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