A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans

PURPOSE: The purpose of this study was to develop a 3D deep learning system from spectral domain optical coherence tomography (SD-OCT) macular cubes to differentiate between referable and nonreferable cases for glaucoma applied to real-world datasets to understand how this would affect the performan...

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Detalles Bibliográficos
Autores principales: Russakoff, Daniel B., Mannil, Suria S., Oakley, Jonathan D., Ran, An Ran, Cheung, Carol Y., Dasari, Srilakshmi, Riyazzuddin, Mohammed, Nagaraj, Sriharsha, Rao, Harsha L., Chang, Dolly, Chang, Robert T.
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/PMC7347026/
https://www.ncbi.nlm.nih.gov/pubmed/32704418
http://dx.doi.org/10.1167/tvst.9.2.12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347026/
https://www.ncbi.nlm.nih.gov/pubmed/32704418
http://dx.doi.org/10.1167/tvst.9.2.12

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