Retinal blood vessel segmentation in fundus images plays an important role in the early
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …

The segmentation of retinal vasculature from eye fundus images is a fundamental task in
retinal image analysis. Over recent years, increasingly complex approaches based on …

Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …

The separation of blood vessels in the retina is a major aspect in detecting ailment and is
carried out by segregating the retinal blood vessels from the fundus images. Moreover, it …

Background and objective Retinal image segmentation can help clinicians detect
pathological disorders by studying changes in retinal blood vessels. This early detection can …

A color fundus image is a photograph obtained using a fundus camera of the inner wall of
the eyeball. In the image, doctors may see changes in the retinal vessels, which can be used …

Segmentation of vessel in retinal fundus images is a primary step for the clinical
identification for specific eye diseases. Effective diagnosis of vascular pathologies from …

Vessel segmentation contributes to precise diagnosis of fundus diseases. However, due to
the existence of micro vessels and class imbalance, it remains a challenging task to …

Retinal blood vessels possess a complex structure in the retina and are considered an
important biomarker for several retinal diseases. Ophthalmic diseases result in specific …

The deterioration of numerous eye diseases is highly related to the fundus retinal structures,
so the automatic retinal vessel segmentation serves as an essential stage for efficient …