Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …

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 …

Retinal vessel image is an important biological information that can be used for personal
identification in the social security domain, and for disease diagnosis in the medical domain …

The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …

Purpose: To externally validate a deep learning pipeline (AutoMorph) for automated
analysis of retinal vascular morphology on fundus photographs. AutoMorph has been made …

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 …

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 …

In recent years, enormous research has been carried out on the segmentation of blood
vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating …

Retinal blood vessel morphological abnormalities are generally associated with
cardiovascular, cerebrovascular, and systemic diseases, automatic artery/vein (A/V) …

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 …