Extraction of retinal vascular parts is an important task in retinal disease diagnosis. Precise
segmentation of the retinal vascular pattern is challenging due to its complex structure …

Existing supervised approaches didn't make use of the low-level features which are actually
effective to this task. And another deficiency is that they didn't consider the relation between …

Until now, the human expert segments retinal blood vessels manually in fundus images to
inspect human retinal-related diseases, such as diabetic retinopathy and vascular occlusion …

Retinal blood vessel segmentation is important for detection of several highly prevalent,
vision-threatening diseases such as diabetic retinopathy. Automatic retinal blood vessel …

Retinal Vessel Segmentation is important for the diagnosis of various diseases. The
research on retinal vessel segmentation focuses mainly on the improvement of the …

Retinal diseases can be found timely by observing retinal fundus images. So extracting
blood vessels from retinal images is an important part because it is the way to show the …

Automated partitioning of retinal vessels depicted in fundus images is beneficial in the
detection of specific ailments like hypertension and diabetes. However, retinal vessel …

The accurate segmentation of retinal vessels is a challenging task due to the presence of
various pathologies as well as the low-contrast of thin vessels and non-uniform illumination …

Recent reports indicate a rise in retinal issues, and automatic artery vein categorization
offers data that is particularly instructive for the medical evaluation of serious retinal …

The structure of blood vessels in the retina is a crucial factor in identifying and forecasting
various eye diseases like cardiovascular diseases, diabetes, and other diseases. Therefore …