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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...
Gorde:
| Argitaratua izan da: | Proc IEEE Int Symp Biomed Imaging |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2014
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| Gaiak: | |
| Sarrera elektronikoa: | 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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