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Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm
The automated identification of brain structure in Magnetic Resonance Imaging is very important both in neuroscience research and as a possible clinical diagnostic tool. In this study, a novel strategy for fully automated hippocampal segmentation in MRI is presented. It is based on a supervised algo...
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| 出版年: | Pattern Anal Appl |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer London
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4828512/ https://ncbi.nlm.nih.gov/pubmed/27110218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10044-015-0492-0 |
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