A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography

PURPOSE: Reliable classification of referable and vision threatening diabetic retinopathy (DR) is essential for patients with diabetes to prevent blindness. Optical coherence tomography (OCT) and its angiography (OCTA) have several advantages over fundus photographs. We evaluated a deep-learning-aid...

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Detalles Bibliográficos
Autores principales: Zang, Pengxiao, Hormel, Tristan T., Wang, Xiaogang, Tsuboi, Kotaro, Huang, David, Hwang, Thomas S., Jia, Yali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288155/
https://www.ncbi.nlm.nih.gov/pubmed/35822949
http://dx.doi.org/10.1167/tvst.11.7.10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288155/
https://www.ncbi.nlm.nih.gov/pubmed/35822949
http://dx.doi.org/10.1167/tvst.11.7.10

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