Development of Deep Learning Models to Predict Best-Corrected Visual Acuity from Optical Coherence Tomography

PURPOSE: To develop deep learning (DL) models to predict best-corrected visual acuity (BCVA) from optical coherence tomography (OCT) images from patients with neovascular age-related macular degeneration (nAMD). METHODS: Retrospective analysis of OCT images and associated BCVA measurements from the...

Descripción completa

Detalles Bibliográficos
Autores principales: Kawczynski, Michael G., Bengtsson, Thomas, Dai, Jian, Hopkins, J. Jill, Gao, Simon S., Willis, Jeffrey R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488630/
https://www.ncbi.nlm.nih.gov/pubmed/32974088
http://dx.doi.org/10.1167/tvst.9.2.51

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488630/
https://www.ncbi.nlm.nih.gov/pubmed/32974088
http://dx.doi.org/10.1167/tvst.9.2.51

Ejemplares similares