Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal im...
Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging
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Publisher
BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
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Language
English
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Publication information
Publisher
BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
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Scope and Contents
Contents
Background/AimsTo develop a convolutional neural network (CNN) to detect symptomatic Alzheimer’s disease (AD) using a combination of multimodal retinal images and patient data.MethodsColour maps of ganglion cell-inner plexiform layer (GC-IPL) thickness, superficial capillary plexus (SCP) optical coherence tomography angiography (OCTA) images, and u...
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Full title
Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging
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Record Identifier
TN_cdi_proquest_miscellaneous_2465436919
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2465436919
Other Identifiers
ISSN
0007-1161
E-ISSN
1468-2079
DOI
10.1136/bjophthalmol-2020-317659
