Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma

Close monitoring of central visual field (VF) defects with 10-2 VF helps prevent blindness in glaucoma. We aimed to develop a deep learning model to predict 10-2 VF from wide-field swept-source optical coherence tomography (SS-OCT) images. Macular ganglion cell/inner plexiform layer thickness maps w...

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Detalles Bibliográficos
Autores principales: Moon, Sangwoo, Lee, Jae Hyeok, Choi, Hyunju, Lee, Sun Yeop, Lee, Jiwoong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722778/
https://www.ncbi.nlm.nih.gov/pubmed/36471039
http://dx.doi.org/10.1038/s41598-022-25660-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722778/
https://www.ncbi.nlm.nih.gov/pubmed/36471039
http://dx.doi.org/10.1038/s41598-022-25660-x

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