Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images

This study aimed to develop a machine learning-based algorithm for glaucoma diagnosis in patients with open-angle glaucoma, based on three-dimensional optical coherence tomography (OCT) data and color fundus images. In this study, 208 glaucomatous and 149 healthy eyes were enrolled, and color fundus...

Descripción completa

Detalles Bibliográficos
Autores principales: An, Guangzhou, Omodaka, Kazuko, Hashimoto, Kazuki, Tsuda, Satoru, Shiga, Yukihiro, Takada, Naoko, Kikawa, Tsutomu, Yokota, Hideo, Akiba, Masahiro, Nakazawa, Toru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397963/
https://www.ncbi.nlm.nih.gov/pubmed/30911364
http://dx.doi.org/10.1155/2019/4061313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397963/
https://www.ncbi.nlm.nih.gov/pubmed/30911364
http://dx.doi.org/10.1155/2019/4061313

Ejemplares similares