Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …

Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding
blindness. Accurate retinal vessel segmentation plays an important role in disease …

Abstract Background and Objective: Automatic monitoring of retinal blood vessels proves
very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …

Vessel local characteristics such as noise, illumination, and direction vary significantly in a
fundus image, making it difficult to segment the vessel tree structure as a whole. To facilitate …

Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose
diseases like tumors, cancers, edemas, etc. Several critical retinal diseases like diabetic …

In recent years, convolutional neural network architectures have become increasingly
complex to achieve improved performance on well-known benchmark datasets. In this …

Devising automated procedures for accurate vessel segmentation (retinal) is crucial for
timely prognosis of vision-threatening eye diseases. In this paper, a novel supervised deep …

Achieving accurate retinal vessel segmentation is critical in the progression and diagnosis of
vision-threatening diseases such as diabetic retinopathy and age-related macular …

Automated detection of vision threatening eye disease based on high resolution retinal
fundus images requires accurate segmentation of the blood vessels. In this regard, detection …