Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus.
Optical coherence tomography angiography (OCTA) has been developed to visualize the …

Hypertensive eye disease includes a spectrum of pathological changes, the most well
known being hypertensive retinopathy. Other commonly involved parts of the eye in …

Automatic segmentation of retinal vessels in fundus images plays an important role in the
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …

Background The application of deep learning to retinal photographs has yielded promising
results in predicting age, sex, blood pressure, and haematological parameters. However, the …

Tortuous arteries and veins are commonly observed in humans and animals. While mild
tortuosity is asymptomatic, severe tortuosity can lead to ischemic attack in distal organs …

High annotation costs are a substantial bottleneck in applying modern deep learning
architectures to clinically relevant medical use cases, substantiating the need for novel …

With increase in life expectancy, the number of persons suffering from common age-related
brain diseases, including neurodegenerative (eg, dementia) and cerebrovascular (eg …

Retinal vessels play an important role in judging many eye-related diseases, so accurate
segmentation of retinal vessels has become the key to auxiliary diagnosis. In this paper, we …

Cognitive impairment and dementia are major medical, social, and economic public health
issues worldwide with significant implications for life quality in older adults. The leading …

The accuracy of retinal vessels segmentation is of great significance for the diagnosis of
cardiovascular diseases such as diabetes and hypertension. Especially, the segmentation …