Utilizing deep learning to predict Alzheimer's disease and mild cognitive impairment with optical co...
Utilizing deep learning to predict Alzheimer's disease and mild cognitive impairment with optical coherence tomography
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Publisher
United States: John Wiley & Sons, Inc
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Language
English
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Publisher
United States: John Wiley & Sons, Inc
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Contents
INTRODUCTION
Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains limited. We aimed to develop a deep‐learning algorithm using OCT to detect AD and MCI.
METHODS
We performed a cross‐sectional study involving 228 Asian participants (173 cases/55 controls)...
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Full title
Utilizing deep learning to predict Alzheimer's disease and mild cognitive impairment with optical coherence tomography
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TN_cdi_doaj_primary_oai_doaj_org_article_7a1aa586e10849dba87b6f0b3af7f4d2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7a1aa586e10849dba87b6f0b3af7f4d2
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ISSN
2352-8729
E-ISSN
2352-8729
DOI
10.1002/dad2.70041
