Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications

Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications

BackgroundAs a disease with high global incidence, hypertension is known to cause systemic vasculopathy. Ophthalmic vessels are the only vascular structures that can be directly observed in vivo in a non-invasive manner. We aim to investigate the changes in ocular microvessels in hypertension using...

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Bibliographic Details
Main Authors: Yiheng Ding, Ziqiang Wei, Chaoyun Wang, Xinyue Li, Bingbing Li, Xueting Liu, Zhijie Fu, Hongwei Mo, Hong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
optical coherence tomography angiography
hypertension
deep learning
convolutional neural network
multi-Swin transformer
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2025.1581785/full
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