Diabetic retinopathy (DR) is a leading cause of vision loss among individuals with diabetes. Early detection and timely treatment of DR are crucial to prevent irreversible damage. In recent years, ...

The advent of deep learning in ophthalmology has revolutionised the detection and diagnosis of diabetic retinopathy (DR). By utilising convolutional neural networks (CNNs) and advanced image ...

Deep learning (DL) allows for the creation of computer models that have many processing layers and are capable of learning data representations at different levels of abstraction. DL algorithms have ...

Lead researcher Lily Peng, M.D., Ph.D., of Google Inc., Mountain View, Calif., and colleagues applied deep learning to create an algorithm for automated detection of diabetic retinopathy and ...

Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...

1. Introduction. The number of people suffering from diabetes in China is now the first in the world. Studies have found that (Li Y. et al., 2020), from 2007 to 2017, the prevalence of diabetes in ...

Keywords: meta analysis, deep learning, diabetic retinopathy, image detection, optical coherence tomography. Citation: Bi Z, Li J, Liu Q and Fang Z (2025) Deep learning-based optical coherence ...

MELBOURNE, Australia, April 20, 2017 /PRNewswire/ -- IBM (NYSE: IBM) this week released the results of new research using deep learning and visual analytics technology to advance early detection ...