An Artificial Intelligence Enabled System for Retinal Nerve Fiber Layer Thickness Damage Severity Staging

PURPOSE: To develop an objective glaucoma damage severity classification system based on OCT-derived retinal nerve fiber layer (RNFL) thickness measurements. DESIGN: Algorithm development for RNFL damage severity classification based on multicenter OCT data. SUBJECTS AND PARTICIPANTS: A total of 656...

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Detalles Bibliográficos
Autores principales: Yousefi, Siamak, Huang, Xiaoqin, Poursoroush, Asma, Majoor, Julek, Lemij, Hans, Vermeer, Koen, Elze, Tobias, Wang, Mengyu, Nouri-Mahdavi, Kouros, Mohammadzadeh, Vahid, Brusini, Paolo, Johnson, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585627/
https://www.ncbi.nlm.nih.gov/pubmed/37868793
http://dx.doi.org/10.1016/j.xops.2023.100389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585627/
https://www.ncbi.nlm.nih.gov/pubmed/37868793
http://dx.doi.org/10.1016/j.xops.2023.100389

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