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

Retinal illnesses such as diabetic retinopathy (DR) are the main causes of vision loss. In the
early recognition of eye diseases, the segmentation of blood vessels in retina images plays …

Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …

In most regions of the world, tuberculosis (TB) is classified as a malignant infectious disease
that can be fatal. Using advanced tools and technology, automatic analysis and …

Retinal fundus images contain plenty of morphological information, so it is particularly
important to realize precise segmentation of the retinal vessels for clinical diagnosis. With …

As an essential step in the early diagnosis of retinopathy, the blood vessels morphological
attributes assist specialists to obtain pathological information efficiently. Most existing deep …

Blinding eye diseases are often related to changes in retinal structure, which can be
detected by analysing retinal blood vessels in fundus images. However, existing techniques …

Retinal vessel segmentation is an important task in medical image analysis and has a
variety of applications in the diagnosis and treatment of retinal diseases. In this paper, we …

Retinal vessel segmentation is generally grounded in image-based datasets collected with
bench-top devices. The static images naturally lose the dynamic characteristics of retina …

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