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2-CHANNEL CONVOLUTIONAL 3D DEEP NEURAL NETWORK (2CC3D) FOR FMRI ANALYSIS: ASD CLASSIFICATION AND FEATURE LEARNING
In this paper, we propose a new whole brain fMRI-analysis scheme to identify autism spectrum disorder (ASD) and explore biological markers in ASD classification. To utilize both spatial and temporal information in fMRI, our method investigates the potential benefits of using a sliding window over ti...
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| Izdano u: | Proc IEEE Int Symp Biomed Imaging |
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| Glavni autori: | , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2018
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7519578/ https://ncbi.nlm.nih.gov/pubmed/32983370 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2018.8363798 |
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