Estimating visual field loss from monoscopic optic disc photography using deep learning model

Visual field assessment is recognized as the important criterion of glaucomatous damage judgement; however, it can show large test–retest variability. We developed a deep learning (DL) algorithm that quantitatively predicts mean deviation (MD) of standard automated perimetry (SAP) from monoscopic op...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Jinho, Kim, Yong Woo, Ha, Ahnul, Kim, Young Kook, Park, Ki Ho, Choi, Hyuk Jin, Jeoung, Jin Wook
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/PMC7712913/
https://www.ncbi.nlm.nih.gov/pubmed/33273643
http://dx.doi.org/10.1038/s41598-020-78144-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712913/
https://www.ncbi.nlm.nih.gov/pubmed/33273643
http://dx.doi.org/10.1038/s41598-020-78144-1

Ejemplares similares