Comparative study of the glistening between four intraocular lens models assessed by optical coherence tomography and deep learning.

José Ignacio Fernández-VigoAna Macarro-MerinoJose Joaquim De Moura-Ramos Lorena Alvarez-RodriguezBarbara Burgos-BlascoJorge Novo-Bujan Marcos Ortega-HortasJosé Ángel Fernández-Vigo

Published in: Journal of cataract and refractive surgery (2023)

It is possible to quantify, classify and compare the glistening severity in different IOL models using OCT images in a simple and objective manner with a DL algorithm. In the comparative study, the Vivity presented the lowest severity of glistening.

Keyphrases

deep learning
optical coherence tomography
convolutional neural network
diabetic retinopathy
artificial intelligence
machine learning
optic nerve
neural network