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Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis
Brain functional connectivity (FC) extracted from resting-state fMRI (RS-fMRI) has become a popular approach for disease diagnosis, where discriminating subjects with mild cognitive impairment (MCI) from normal controls (NC) is still one of the most challenging problems. Dynamic functional connectiv...
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| 出版年: | Med Image Comput Comput Assist Interv |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6553484/ https://ncbi.nlm.nih.gov/pubmed/31179447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-00931-1_29 |
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