Cargando…
A deep learning model for the detection of both advanced and early glaucoma using fundus photography
PURPOSE: To build a deep learning model to diagnose glaucoma using fundus photography. DESIGN: Cross sectional case study Subjects, Participants and Controls: A total of 1,542 photos (786 normal controls, 467 advanced glaucoma and 289 early glaucoma patients) were obtained by fundus photography. MET...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258525/ https://www.ncbi.nlm.nih.gov/pubmed/30481205 http://dx.doi.org/10.1371/journal.pone.0207982 |