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A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment
BACKGROUND: The detection of Alzheimer’s Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature review shows that the classification of MCI-converts and MCI-non-converts has not...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035729/ https://www.ncbi.nlm.nih.gov/pubmed/32085774 http://dx.doi.org/10.1186/s12911-020-1055-x |