A deep learning approach to predict visual field using optical coherence tomography

We developed a deep learning architecture based on Inception V3 to predict visual field using optical coherence tomography (OCT) imaging and evaluated its performance. Two OCT images, macular ganglion cell-inner plexiform layer (mGCIPL) and peripapillary retinal nerve fibre layer (pRNFL) thicknesses...

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Detalles Bibliográficos
Autores principales: Park, Keunheung, Kim, Jinmi, Lee, Jiwoong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337305/
https://www.ncbi.nlm.nih.gov/pubmed/32628672
http://dx.doi.org/10.1371/journal.pone.0234902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337305/
https://www.ncbi.nlm.nih.gov/pubmed/32628672
http://dx.doi.org/10.1371/journal.pone.0234902

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