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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Bibliografische Detailangaben

Hauptverfasser:	Yiheng Ding, Ziqiang Wei, Chaoyun Wang, Xinyue Li, Bingbing Li, Xueting Liu, Zhijie Fu, Hongwei Mo, Hong Zhang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-07-01
Schriftenreihe:	Frontiers in Cell and Developmental Biology
Schlagworte:	optical coherence tomography angiography hypertension deep learning convolutional neural network multi-Swin transformer
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fcell.2025.1581785/full
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