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 …

Age-related macular degeneration (AMD) remains a disease with high morbidity and an
incompletely understood pathophysiological mechanism. The ocular blood supply has been …

Breast cancer exhibits one of the highest incidence and mortality rates among all cancers
affecting women. The early detection of breast cancer reduces mortality and is crucial for …

Segmentation of retinal fundus images is a crucial part of medical diagnosis. Automatic
extraction of blood vessels in low-quality retinal images remains a challenging problem. In …

Diabetic retinopathy (DR) is an eye disease triggered due to diabetes, which may lead to
blindness. To prevent diabetic patients from becoming blind, early diagnosis and accurate …

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 …

The present study is developed a new approach using a computer diagnostic method to
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …

Vessel segmentation is crucial in many medical image applications, such as detecting
coronary stenoses, retinal vessel diseases and brain aneurysms. However, achieving high …

Ocular diseases are eventually increasing these days that cause partial or complete vision
loss even at an early age, the prominent reason behind this is cardiovascular diseases that …

The geometric morphology of retinal vessels reflects the state of cardiovascular health, and
fundus images are important reference materials for ophthalmologists. Great progress has …