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The Relevance Voxel Machine (RVoxM): A Self-tuning Bayesian Model for Informative Image-based Prediction
This paper presents the Relevance Voxel Machine (RVoxM), a dedicated Bayesian model for making predictions based on medical imaging data. In contrast to the generic machine learning algorithms that have often been used for this purpose, the method is designed to utilize a small number of spatially c...
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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: |
2012
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3623564/ https://ncbi.nlm.nih.gov/pubmed/23008245 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2012.2216543 |
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