Entropy images, representing the complexity of original fundus photographs, may strengthen
the contrast between diabetic retinopathy (DR) lesions and unaffected areas. The aim of this …

In general, diabetic retinopathy is a hurdle of diabetes that subsists throughout the world.
Early detection of this severe disease through computer‐assisted diagnosis tools followed …

Identifying the diabetic retinopathy (DR) severity in the retina images taken under a variety of
imaging conditions is more challenging. There are five classes that are commonly classified …

The broad availability of medical images in current clinical practice provides a source of
large image datasets. In order to use these datasets for training deep neural networks in …

With the use of fundus image analysis, the objective of this work is to carry out a comparative
examination of the identification of specificity in diabetic retinopathy. A comparison is made …

All around the world, partial or total blindness has become a direct consequence of diabetes
and hypertension. Visual disorders related to these diseases require automatic and …

Diabetes strikes when the pancreas stops to produce sufficient insulin, gradually disturbing
the retina of the human eye, leading to diabetic retinopathy. The blood vessels in the retina …

Diabetic retinopathy which causes severe vision loss which results in lesions on the eye.
This problem will lead to blindness. No permanent treatment for DR we can save eyesight if …

Abstract Autonomous Driving Systems (ADS) require some additional concerns regarding
safety, regulatory, and hardware specifications. The perception module, the first in the …

This work presents an implementation of a signal identification algorithm which is based on
the internal model principle. By using several internal models in feedback with a tuning …