Artificial intelligence in glaucoma: posterior segment optical coherence tomography

To summarize the recent literature on deep learning (DL) model applications in glaucoma detection and surveillance using posterior segment optical coherence tomography (OCT) imaging. RECENT FINDINGS: DL models use OCT derived parameters including retinal nerve fiber layer (RNFL) scans, macular scans...

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Detalles Bibliográficos
Autores principales: Gutierrez, Alfredo, Chen, Teresa C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
TRANSLATIONAL RESEARCH: Edited by Jason Hsu & Sunir J. Garg
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090343/
https://www.ncbi.nlm.nih.gov/pubmed/36728784
http://dx.doi.org/10.1097/ICU.0000000000000934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090343/
https://www.ncbi.nlm.nih.gov/pubmed/36728784
http://dx.doi.org/10.1097/ICU.0000000000000934

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