Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images

We aimed to develop a model to predict visual field (VF) in the central 10 degrees in patients with glaucoma, by training a convolutional neural network (CNN) with optical coherence tomography (OCT) images and adjusting the values with Humphrey Field Analyzer (HFA) 24–2 test. The training dataset in...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Asano, Shotaro, Asaoka, Ryo, Murata, Hiroshi, Hashimoto, Yohei, Miki, Atsuya, Mori, Kazuhiko, Ikeda, Yoko, Kanamoto, Takashi, Yamagami, Junkichi, Inoue, Kenji
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7838164/
https://ncbi.nlm.nih.gov/pubmed/33500462
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-79494-6
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados