Developing efficient vessel-tracking algorithms is crucial for imaging-based diagnosis and
treatment of vascular diseases. Vessel tracking aims to solve recognition problems such as …

Vessel segmentation as a component of medical image processing is the prerequisite for
accurate diagnosis of vascular-related diseases. Manual delineation of blood vessels has …

Background and objective Deep learning techniques are instrumental in developing network
models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose …

Most of the retinal diseases namely retinopathy, occlusion etc., can be identified through
changes exhibited in retinal vasculature of fundus images. Thus, segmentation of retinal …

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 …

Insufficient blood flow within the retinal vessels is believed to be the root cause of several
optical problems, including partial vision loss and blindness. The appearance and growth of …

Retinal blood vessel segmentation influences a lot of blood vessel-related disorders such as
diabetic retinopathy, hypertension, cardiovascular and cerebrovascular disorders, etc. It is …

Retina is the interior part of human's eye, has a vital role in vision. The digital image
captured by fundus camera is very useful to analyze the abnormalities in retina especially in …

Retinal blood vessels have a significant role in the diagnosis and treatment of various retinal
diseases such as diabetic retinopathy, glaucoma, arteriosclerosis, and hypertension. For this …

The retinal images with lesions, exudates, non-uniformed illuminations and pathological
artifacts have intrinsic problems such as the absence of thin vessels and false vessels …