Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's d...
Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease
About this item
Full title
Author / Creator
Wang, Xin , Jiao, Bin , Liu, Hui , Wang, Yaqin , Hao, Xiaoli , Zhu, Yuan , Xu, Bei , Xu, Huizhuo , Zhang, Sizhe , Jia, Xiaoliang , Xu, Qian , Liao, Xinxin , Zhou, Yafang , Jiang, Hong , Wang, Junling , Guo, Jifeng , Yan, Xinxiang , Tang, Beisha , Zhao, Rongchang and Shen, Lu
Publisher
England: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
England: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
Aims
We mainly evaluate retinal alterations in Alzheimer's disease (AD) patients, investigate the associations between retinal changes with AD biomarkers, and explore an optimal machine learning (ML) model for AD diagnosis based on retinal thickness.
Methods
A total of 159 AD patients and 299 healthy controls were enrolled. The retinal par...
Alternative Titles
Full title
Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9627364
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9627364
Other Identifiers
ISSN
1755-5930
E-ISSN
1755-5949
DOI
10.1111/cns.13963
