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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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| Опубликовано в: : | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2014
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| Предметы: | |
| Online-ссылка: | 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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