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Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
Machine learning techniques have become increasingly popular in the field of resting state fMRI (functional magnetic resonance imaging) network based classification. However, the application of convolutional networks has been proposed only very recently and has remained largely unexplored. In this p...
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| Опубликовано в: : | Front Neuroinform |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5651030/ https://ncbi.nlm.nih.gov/pubmed/29089883 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2017.00061 |
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