Automated Detection of Posterior Vitreous Detachment on OCT Using Computer Vision and Deep Learning Algorithms

OBJECTIVE: To develop automated algorithms for the detection of posterior vitreous detachment (PVD) using OCT imaging. DESIGN: Evaluation of a diagnostic test or technology. SUBJECTS: Overall, 42 385 consecutive OCT images (865 volumetric OCT scans) obtained with Heidelberg Spectralis from 865 eyes...

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Detalles Bibliográficos
Autores principales: Li, Alexa L., Feng, Moira, Wang, Zixi, Baxter, Sally L., Huang, Lingling, Arnett, Justin, Bartsch, Dirk-Uwe G., Kuo, David E., Saseendrakumar, Bharanidharan Radha, Guo, Joy, Nudleman, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Artificial Intelligence and Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860346/
https://www.ncbi.nlm.nih.gov/pubmed/36691594
http://dx.doi.org/10.1016/j.xops.2022.100254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860346/
https://www.ncbi.nlm.nih.gov/pubmed/36691594
http://dx.doi.org/10.1016/j.xops.2022.100254

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