A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to...
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease
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Publisher
United States: Elsevier Inc
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Language
English
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Publisher
United States: Elsevier Inc
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Contents
Some forms of mild cognitive impairment (MCI) are the clinical precursors of Alzheimer's disease (AD), while other MCI types tend to remain stable over-time and do not progress to AD. To identify and choose effective and personalized strategies to prevent or slow the progression of AD, we need to develop objective measures that are able to discrimi...
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Full title
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease
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TN_cdi_proquest_miscellaneous_2179387473
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2179387473
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2019.01.031
