Quantification of Nonperfusion Area in Montaged Widefield OCT Angiography Using Deep Learning in Diabetic Retinopathy

PURPOSE: To examine the efficacy of a deep learning-based algorithm to quantify the nonperfusion area (NPA) on montaged widefield OCT angiography (OCTA) for assessment of diabetic retinopathy (DR) severity. DESIGN: Cross-sectional study. PARTICIPANTS: One hundred thirty-seven participants with a ful...

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Detalles Bibliográficos
Autores principales: Guo, Yukun, Hormel, Tristan T., Gao, Liqin, You, Qisheng, Wang, Bingjie, Flaxel, Christina J., Bailey, Steven T., Choi, Dongseok, Huang, David, Hwang, Thomas S., Jia, Yali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560579/
https://www.ncbi.nlm.nih.gov/pubmed/36249293
http://dx.doi.org/10.1016/j.xops.2021.100027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560579/
https://www.ncbi.nlm.nih.gov/pubmed/36249293
http://dx.doi.org/10.1016/j.xops.2021.100027

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