Retinal images are a key element for ophthalmologists in diagnosing a variety of eye
illnesses. The retina is vulnerable to microvascular changes as a result of many retinal …

Cervical cancer is still one of the most prevalent cancers in women and a significant cause
of mortality. Cytokine gene variants and socio-demographic characteristics have been …

In order to effectively solve the problem of interlaced overlap in the fundus image lesions,
large and small blood vessels packed densely and severely affected by light, and to achieve …

Diabetic Macular Edema affects vision and eventually may lead to blindness. Early detection
is vital to prevent the ramifications of the disease requiring the need for effective computer …

The main objective of this method is to detect DR (Diabetic Retinopathy) eye disease using
Image Processing techniques. The tool used in this method is MATLAB (R2010a) and it is …

Diabetic retinopathy (DR) is one of the complications of diabetes affecting the eyes. If not
treated at an early stage, then it can cause permanent blindness. The present work …

Microaneurysms (MA) detection in diabetic patients is very important as it's the first phase in
grading the Diabetic Retinopathy disease through retinal fundus images. This paper …

Melanoma is a fatal skin cancer. Correct localization and segmentation of a lesion is
decisive in proper detection of a skin cancer from dermoscopic images. This work proposes …

Background and objective Identification of fundus images during transmission and storage
in database for tele-ophthalmology applications is an important issue in modern era. The …

Diabetic retinopathy is the major issue of diabetes‐induced blindness worldwide but is
curable if detected in time. Cotton wool spots (CWSs) are the critical lesions of diabetic …