Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers

We propose a hybrid sequential prediction model called “Deep Sequence”, integrating radiomics-engineered imaging features, demographic, and visual factors, with a recursive neural network (RNN) model in the same platform to predict the risk of exudation within a future time-frame in non-exudative AM...

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Detalles Bibliográficos
Autores principales: Banerjee, Imon, de Sisternes, Luis, Hallak, Joelle A., Leng, Theodore, Osborne, Aaron, Rosenfeld, Philip J., Gregori, Giovanni, Durbin, Mary, Rubin, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508843/
https://www.ncbi.nlm.nih.gov/pubmed/32963300
http://dx.doi.org/10.1038/s41598-020-72359-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508843/
https://www.ncbi.nlm.nih.gov/pubmed/32963300
http://dx.doi.org/10.1038/s41598-020-72359-y

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