Visualizing and understanding inherent features in SD-OCT for the progression of age-related macular degeneration using deconvolutional neural networks

To develop a convolutional neural network visualization strategy so that optical coherence tomography (OCT) features contributing to the evolution of age-related macular degeneration (AMD) can be better determined. We have trained a U-Net model to utilize baseline OCT to predict the progression of g...

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Detalles Bibliográficos
Autores principales: Saha, Sajib, Wang, Ziyuan, Sadda, Srinivas, Kanagasingam, Yogesan, Hu, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725889/
https://www.ncbi.nlm.nih.gov/pubmed/36478669
http://dx.doi.org/10.1002/ail2.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725889/
https://www.ncbi.nlm.nih.gov/pubmed/36478669
http://dx.doi.org/10.1002/ail2.16

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