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OPTIMIZING BRAIN CONNECTIVITY NETWORKS FOR DISEASE CLASSIFICATION USING EPIC
We propose a method to adaptively select an optimal cortical segmentation for brain connectivity analysis that maximizes feature-based disease classification performance. In standard structural connectivity analysis, the cortex is typically subdivided (parcellated) into N anatomical regions. White m...
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| Udgivet i: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4232940/ https://ncbi.nlm.nih.gov/pubmed/25405000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2014.6868000 |
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