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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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| Pubblicato in: | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | 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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