Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

ABSTRACT: Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature. Abnormalities of the retinal vasculature may reflect the degree of microvascular damage due to hypertension, and these changes can be detected with fundus photographs. This study aimed to use deep learning technique that can detect subclinical features appearing below the threshold of a human observer to explore the effect of hypertension on morphological features of retinal microvasculature. We collected 2012 retinal photographs which included 1007 from patients with a diagnosis of hypertension and 1005 from normotensive control. By method of vessel segmentation, we removed interference information other than retinal vasculature and contain

SUBMITTER: Dai G 

PROVIDER: S-EPMC7058325 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature