In this study, a combined approach of circular Hough transform and Convolutional Neural
Network (CNN) algorithms was proposed for detecting exudates, which is one of the signs of …

The evolution of deep learning (DL) has made artificial intelligence image recognition a
mature technology. Recently, the use of DL to identify diabetic retinopathy (DR) has been …

Diabetic retinopathy (DR) is a microvascular complication of diabetes, causing abnormalities
in the retina, and it is can cause blindness. Diabetic retinopathy can be detected by the …

Analyzing data is a challenging task nowadays because the size of data affects results of the
analysis. This is because every application can generate data of massive amount …

Accurate detection of exudates in the diabetic retinal images is a challenging task. The
images can have varying contrast and color characteristics. In this paper authors present the …

The main objective of this work is to develop an artificial neural network (ANN) for automated
detection of diabetic retinopathy (DR) in retinal images. Three hundred and thirty images …

Retinal diseases and systemic diseases, such as diabetic retinopathy (DR) and Alzheimer's
disease, may manifest themselves in the retina, changing the retinal oxygen saturation (SO …

Diabetes is a chronic disease that cannot be cured, but can be treated and controlled. In the
long run, a high blood sugar level causes complications, especially in the eyes, which leads …

Ophthalmology is the study of structures, functions, treatment and disorders of eye.
Computer aided analysis of retina images is still an open research area. Numerous efforts …

Clustering of similar data items is an important technique in mining useful patterns. To
enhance the performance of Clustering, training or learning is an important task. A constraint …