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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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| Опубликовано в: : | Pattern Anal Appl |
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| Главные авторы: | , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer London
2015
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| Предметы: | |
| Online-ссылка: | 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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