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Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis
Recent studies on Alzheimer's Disease (AD) or its prodromal stage, Mild Cognitive Impairment (MCI), diagnosis presented that the tasks of identifying brain disease status and predicting clinical scores based on neuroimaging features were highly related to each other. However, these tasks were o...
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| Publicat a: | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4569014/ https://ncbi.nlm.nih.gov/pubmed/26379415 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2014.395 |
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