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Detecting prodromal Alzheimer’s disease with MRI through deep learning

2019-10-22

Abstract excerpt

<h4>ABSTRACT</h4> Deep learning applied to MRI for Alzheimer’s classification is hypothesized to improve if the deep learning model implicates disease’s pathophysiology. The challenge in testing this hypothesis is that large-scale data are required to train this type of model. Here, we overcome this challenge by using a novel data augmentation strategy and show that our MRI-based deep learning model classifies Al...

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Literature Corpus work
5cdf7722-95e7-515f-91d4-16051bc934af
DOI
10.1101/813899
Open publication

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Detecting prodromal Alzheimer’s disease with MRI through deep learningDOI 10.1101/813899
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