Verifying and refining early statuses in Alzheimer’s disease progression: a possibility from deep feature comparison
Mianxin Liu,
Liang Cui,
Zixiao Zhao
et al.
Abstract:Defining the early status of Alzheimer’s disease is challenging. Theoretically, the statuses in the Alzheimer’s disease continuum are expected to share common features. Here, we explore to verify and refine candidature early statuses of Alzheimer’s disease with features learned from deep learning. We train models on brain functional networks to accurately classify between amnestic and non-amnestic mild cognitive impairments and between healthy controls and mild cognitive impairments. The trained models are app… Show more
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