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

The traditional histogram equalization algorithm may cause problems such as local over-
enhancement and noise amplification while enhancing the image. To solve these problems …

Diabetes associated complications, including diabetic retinopathy and loss of vision, are
major health concerns. Detecting early retinal vascular changes during diabetes is not well …

In this study, we propose a low-cost cross-polarized dark field microscopy system for in vivo
vascular imaging to detect head and neck cancer. A simple-to-use Gabor-filter-based image …

Segmentation of cerebrovascular structures from MRA (Magnetic Resonance Angiography)
is a challenging assignment as a result of the complexity structures of the vessels and the …

mage Segmentation partitions the image into various regions thus by making image more
easy to read and understand. This segmentation process can be applied on different types …

Retinal blood vessels damaged from diabetic retinopathy can cause vision loss. Diabetic
Retinopathy (DR) detection, poor quality retinal image makes more difficult the analysis for …

This Diabetic retinopathy poses a heavy threat to vision. Digital colored structure images can
be used for distinguishing the eye structure. They produce a high-quality record of the …

Retinal blood vessels segmentation is mandatory for retinal image analysis, diagnose and
treatment of specific diseases. However, the manual analysis of the retinal image is time …

Resumen ESCOBAR, Marco A.; GUZMAN SEPULVEDA, José R.; PARRA MICHEL, Jorge R.
y GUZMAN CABRERA, Rafael. A proposal to measure the similarity between retinal vessel …