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

Glaucoma is an incurable eye disease that leads to slow progressive degeneration of the
retina. It cannot be fully cured, however, its progression can be controlled in case of early …

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 …

In this study, we propose LDMRes-Net, a lightweight dual-multiscale residual block-based
convolutional neural network tailored for medical image segmentation on IoT and edge …

Background and objective: Automatic segmentation of retinal blood vessels makes a major
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …

Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …

Image segmentation is an important task in medical imaging. It constitutes the backbone of a
wide variety of clinical diagnostic methods, treatments, and computer-aided surgeries. In this …

Diabetes is a long-term condition in which the pancreas quits producing insulin or the body's
insulin isn't utilised properly. One of the signs of diabetes is Diabetic Retinopathy. Diabetic …

Background and objective Detection of the Optic Disc (OD) in retinal fundus image is crucial
in identifying diverse abnormal conditions in the retina such as diabetic retinopathy …

Diseases such as diabetic retinopathy and age-related macular degeneration pose a
significant risk to vision, highlighting the importance of precise segmentation of retinal …