Strategies to Improve Convolutional Neural Network Generalizability and Reference Standards for Glaucoma Detection From OCT Scans

PURPOSE: To develop and evaluate methods to improve the generalizability of convolutional neural networks (CNNs) trained to detect glaucoma from optical coherence tomography retinal nerve fiber layer probability maps, as well as optical coherence tomography circumpapillary disc (circle) b-scans, and...

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Detalles Bibliográficos
Autores principales: Thakoor, Kaveri A., Li, Xinhui, Tsamis, Emmanouil, Zemborain, Zane Z., De Moraes, Carlos Gustavo, Sajda, Paul, Hood, Donald C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054628/
https://www.ncbi.nlm.nih.gov/pubmed/34003990
http://dx.doi.org/10.1167/tvst.10.4.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054628/
https://www.ncbi.nlm.nih.gov/pubmed/34003990
http://dx.doi.org/10.1167/tvst.10.4.16

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