Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

PURPOSE: To establish optical coherence tomography (OCT)/angiography (OCTA) parameter ranges for healthy eyes (HE) and glaucomatous eyes (GE) for a North Texas based population; to develop a machine learning (ML) tool and to identify the most accurate diagnostic parameters for clinical glaucoma diag...

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Detalles Bibliográficos
Autores principales: Kooner, Karanjit S, Angirekula, Ashika, Treacher, Alex H, Al-Humimat, Ghadeer, Marzban, Mohamed F, Chen, Alyssa, Pradhan, Roma, Tunga, Nita, Wang, Chuhan, Ahuja, Pranati, Zuberi, Hafsa, Montillo, Albert A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394657/
https://www.ncbi.nlm.nih.gov/pubmed/36003072
http://dx.doi.org/10.2147/OPTH.S367722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394657/
https://www.ncbi.nlm.nih.gov/pubmed/36003072
http://dx.doi.org/10.2147/OPTH.S367722

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