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A deep learning fusion model for brain disorder classification: Application to distinguishing schizophrenia and autism spectrum disorder
Deep learning has shown a great promise in classifying brain disorders due to its powerful ability in learning optimal features by nonlinear transformation. However, given the high-dimension property of neuroimaging data, how to jointly exploit complementary information from multimodal neuroimaging...
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| I publikationen: | ACM BCB |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7758676/ https://ncbi.nlm.nih.gov/pubmed/33363290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3388440.3412478 |
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