Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging
British Journal of Ophthalmology2020Vol. 106(3), pp. 388–395
Citations Over TimeTop 10% of 2020 papers
C. Ellis Wisely, Dong Wang, Ricardo Henao, Dilraj S. Grewal, Atalie C. Thompson, Cason B. Robbins, Stephen P. Yoon, Srinath Soundararajan, Bryce W. Polascik, James R. Burke, Andy Liu, Lawrence Carin, Sharon Fekrat
Abstract
Our CNN used multimodal retinal images to successfully predict diagnosis of symptomatic AD in an independent test set. GC-IPL maps were the most useful single inputs for prediction. Models including only images performed similarly to models also including quantitative data and patient data.
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