Novel Machine-Learning Based Framework Using Electroretinography Data for the Detection of Early-Stage Glaucoma

PURPOSE: Early-stage glaucoma diagnosis has been a challenging problem in ophthalmology. The current state-of-the-art glaucoma diagnosis techniques do not completely leverage the functional measures' such as electroretinogram's immense potential; instead, focus is on structural measures li...

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Detalles Bibliográficos
Autores principales: Gajendran, Mohan Kumar, Rohowetz, Landon J., Koulen, Peter, Mehdizadeh, Amirfarhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115110/
https://www.ncbi.nlm.nih.gov/pubmed/35600610
http://dx.doi.org/10.3389/fnins.2022.869137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115110/
https://www.ncbi.nlm.nih.gov/pubmed/35600610
http://dx.doi.org/10.3389/fnins.2022.869137

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