Deep learning (DL) enables the creation of computational models comprising multiple
processing layers that learn data representations at multiple levels of abstraction. In the …

The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …

Artificial neural networks (ANN) are artificial intelligence (AI) techniques used in the
automated recognition and classification of pathological changes from clinical images in …

Aims To systematically evaluate the diagnostic value of an artificial intelligence (AI)
algorithm model for various types of diabetic retinopathy (DR) in prospective studies over the …

Introduction: In this retrospective cohort study, we wanted to evaluate the performance and
analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in …

Diabetic Retinopathy (DR) is a result of prolonged diabetes with poor blood sugar
management. It causes vision problems and blindness due to the deformation of the human …

Diabetic retinopathy is a condition that affects the retina and causes vision loss due to blood
vessel destruction. The retina is the layer of the eye responsible for visual processing and …

Automated fine-grained diabetic retinopathy (DR) grading was of great significance for
assisting ophthalmologists in monitoring DR and designing tailored treatments for patients …

Diabetic retinopathy (DR) is a microvascular disease that is associated with diabetes
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …

This study focuses on overcoming challenges in classifying eye diseases using color fundus
photographs by leveraging deep learning techniques, aiming to enhance early detection …