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Sparse Multi-view Task-Centralized Learning for ASD Diagnosis
It is challenging to derive early diagnosis from neuroimaging data for autism spectrum disorder (ASD). In this work, we propose a novel sparse multi-view task-centralized (Sparse-MVTC) classification method for computer-assisted diagnosis of ASD. In particular, since ASD is known to be age- and sex-...
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| Yayımlandı: | Mach Learn Med Imaging |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5815516/ https://ncbi.nlm.nih.gov/pubmed/29457153 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-67389-9_19 |
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