This paper focuses on the development of an efficient Diabetic Retinopathy (DR) detection system utilizing machine learning techniques. Leveraging a dataset of high-resolution retina images, the ...

This project aims to detect diabetic retinopathy, a medical condition caused by diabetes that affects the eyes, using deep learning ... performance in image classification tasks and were chosen to ...

The evaluation of retinal images using an algorithm based on deep machine learning can improve early detection and treatment of diabetic retinopathy, claims research. Adults with type 2 diabetes ...

This AI tool helps the common people to identify the occurrence and the stage of the Diabetic Retinopathy ... transfer learning technique in deep learning, to develop a simpler, efficient and accurate ...

Objective: To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for ... high accuracy for detection ...

Transfer learning (TL) is a technique in machine learning where a model trained on one task is adapted or fine-tuned for a related task [15]. In the context of diabetic retinopathy detection ... of ...

this week released the results of new research using deep learning and visual analytics technology to advance early detection of diabetic retinopathy (DR) 1. The results, which classify the degree ...