We developed a contour detection based image processing algorithm based on Mamdani
(Type-2) fuzzy rules for detection of blood vessels in retinal fundus images. The method …

Diabetic Retinopathy (DR) is a prevalent outcome of diabetic mellitus. This causes lesions to
form on the retina, impairing eyesight. Most likely, blindness can be avoided if the DR …

Background Many ophthalmic disorders such as diabetic retinopathy and hypertension can
be early diagnosed by analyzing changes related to the vascular structure of the retina …

This paper proposes a deep image analysis–based model for glaucoma diagnosis that uses
several features to detect the formation of glaucoma in retinal fundus. These features are …

Background and objective Retinal vessel segmentation plays an important role in the
automatic retinal disease screening and diagnosis. How to segment thin vessels and …

Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use
fundus photography to monitor the progression of certain eye conditions or diseases …

Diabetic retinopathy (DR) has become a serious threat in our society, which causes 45% of
the legal blindness in diabetes patients. Early detection as well as the periodic screening of …

Retinal vessels are essential biomarkers for the early diagnosis of ophthalmic diseases.
Accurate segmentation of retinal vessels is necessary for further quantitative analysis of …

For the proper diagnosis and treatment of a variety of retinal conditions, retinal blood vessel
segmentation is crucial. Delineation of vessels with varying thicknesses is critical for …

The retinal images with lesions, exudates, non-uniformed illuminations and pathological
artifacts have intrinsic problems such as the absence of thin vessels and false vessels …