The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …

Automating screening and diagnosis in the medical field saves time and reduces the
chances of misdiagnosis while saving on labor and cost for physicians. With the feasibility …

The detection of retinal vessel is of great importance in the diagnosis and treatment of many
ocular diseases. Many methods have been proposed for vessel detection. However, most of …

Background and objective: Automatic segmentation of retinal blood vessels makes a major
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …

Retinal vessel segmentation is generally grounded in image-based datasets collected with
bench-top devices. The static images naturally lose the dynamic characteristics of retina …

Automatic segmentation and differentiation of retinal arteriole and venule (AV), defined as
small blood vessels directly before and after the capillary plexus, are of great importance for …

The continuum manipulator improves the intraocular robot flexibility during retinal surgery.
Herein, a micro‐3‐degree of freedom (DOF) force sensor with a length of only 3.8 mm that …

Hypertensive Retinopathy (HR) is a retinal disease caused by elevated blood pressure for a
prolonged period. There are no obvious signs in the early stages of high blood pressure, but …

Automatic artery/vein (A/V) classification, as the basic prerequisite for the quantitative
analysis of retinal vascular network, has been actively investigated in recent years using …

Despite the great success of deep learning approaches, retinal disease classification is still
challenging as the early-stage pathological regions of retinal diseases may be extremely …