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Published in 2021 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-05193-z
Abstract: The classification of Alzheimer’s disease (AD) using ADNI dataset requires suitable feature segmenting techniques to detect the existing and relevant finer smaller brain region features, together with effective classification model, to eliminate a massive, labor-intensive…
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Keywords:
classification;
alzheimer disease;
deep learning;
learning based ... See more keywords
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Published in 2019 at "International Psychogeriatrics"
DOI: 10.1017/s1041610219000085
Abstract: Fil: Allegri, Ricardo Francisco. Consejo Nacional de Investigaciones Cientificas y Tecnicas; Argentina. Fundacion para la Lucha contra las Enfermedades Neurologicas de la Infancia; Argentina. Universidad de la Costa; Colombia
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Keywords:
disease amyloid;
amyloid tau;
biological classification;
classification alzheimer ... See more keywords
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Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.927217
Abstract: To improve the diagnosis and classification of Alzheimer’s disease (AD), a modeling method is proposed based on the combining magnetic resonance images (MRI) brain structural data with metabolite levels of the frontal and parietal regions.…
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Keywords:
structural metabolic;
classification;
alzheimer disease;
brain structural ... See more keywords
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Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9010027
Abstract: BACKGROUND Alzheimer's disease (AD) has paramount importance due to its rising prevalence, the impact on the patient and society, and the related healthcare costs. However, current diagnostic techniques are not designed for frequent mass screening,…
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Keywords:
speech;
disease;
alzheimer disease;
systematic review ... See more keywords