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 …

Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a
result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases …

Detecting the locations of the optic disc and fovea is a crucial task towards developing
automatic diagnosis and screening tools for retinal disease. We propose to address this …

This paper presents a novel classification-based optic disc (OD) segmentation algorithm that
detects the OD boundary and the location of vessel origin (VO) pixel. First, the green plane …

Background and objective Visual impairment affects a significant part of the population
worldwide. Glaucoma is one of these main causes, a chronic eye disease leading to …

Purpose Automatic and accurate segmentation of the optic disc (OD) and optic cup (OC) is
crucial for clinical glaucoma screening. However, the segmentation accuracy cannot meet …

Diabetic retinopathy (DR) is a disease facilitated by the rapid spread of diabetes worldwide.
DR can blind diabetic individuals. Early detection of DR is essential to restoring vision and …

Glaucoma is an ocular disease caused by damaged optic nerve head (ONH) due to high
intraocular pressure (IOP) within the eyeball. Usually, glaucoma patients will not realize the …

Atomic recognition of the Exudates (EXs), the major symbol of diabetic retinopathy is
essential for automated retinal images analysis. In this article, we proposed a novel machine …

Diseases of the eye require manual segmentation and examination of the optic disc by
ophthalmologists. Though, image segmentation using deep learning techniques is …