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Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification
Learning functional connectivity (FC) network from resting-state function magnetic resonance imaging (RS-fMRI) data via sparse representation (SR) or weighted SR (WSR) has been proved to be promising for the diagnosis of Alzheimer’s disease and its prodromal stage, mild cognitive impairment (MCI). H...
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| 出版年: | Asian Conf Pattern Recognit |
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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/PMC6322851/ https://ncbi.nlm.nih.gov/pubmed/30627592 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACPR.2017.147 |
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