Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …

Glaucoma is the second leading cause of loss of vision in the world. Examining the head of
optic nerve (cup‐to‐disc ratio) is very important for diagnosing glaucoma and for patient …

Objective: The purpose of this paper is to propose a novel algorithm for joint optic disc and
cup segmentation, which aids the glaucoma detection. Methods: By assuming the shapes of …

Content-based image analysis and computer vision techniques are used in various health-
care systems to detect the diseases. The abnormalities in a human eye are detected through …

Glaucoma is one of the leading factors of vision loss, where the people tends to lose their
vision quickly. The examination of cup‐to‐disc ratio is considered essential in diagnosing …

Diabetic retinopathy is the principle disease that can make blindness. The early stage of
diabetic retinopathy is Non-Proliferative Diabetic Retinopathy, which is splitted into three …

The segmentation of the optic disc (OD) and the optic cup (OC) is an important step for
glaucoma diagnosis. Conventional deep neural network models appear good performance …

Diabetic retinopathy is a retinal disease caused by diabetes mellitus. Severity of diabetic
retinopathy may lead to blindness. Therefore, early detection of diabetic retinopathy is very …

This research proposes a robust method for disc localization and cup segmentation that
incorporates masking to avoid misclassifying areas as well as forming the structure of the …

Glaucoma is an eye disease that occurs when circulation of an eye fluid does not remain
normal which in turn increases the intraocular pressure (IOP) in aqueous humour of the …