Medical Xpress

Lab-grown retinal cells show promise for new eye therapies

Biomedical engineers at Duke University have used induced pluripotent stem cells (iPSCs) to grow specialized blood vessel cells critical to retinal health for the first time. When injected into mouse ...

AI analyses of eye scans can detect diseases like diabetes, osteoporosis and thyroid disease in seconds

A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high ...
Frontiers

Detection of referable diabetic retinopathy using machine learning on routine clinical data

We enrolled 562 adults with diabetes who underwent fundus examination at a single tertiary center from June 2015 to December 2023, retrospectively and prospectively. RDR was defined as moderate ...
GitHub

Retinal Disease Detection using Optical Coherence Tomography and Deep Neural Networks

The healthy macula of a 24 year old male (cross-section view). This image is released to Wikimedia with patient consent. Imaged in-vivo with an Optovue iVue Spectral Domain Optical Coherence ...
GitHub

Diabetic Retinopathy Detection: Utilizing Multiprocessing for Processing Large Datasets and Transfer Learning to Fine-Tune Deep Learning Models

Efficiently process large datasets & develop advanced model pipelines for diabetic retinopathy detection. Streamlining diagnosis. In this project, large datasets are efficiently handled by downloading ...
IEEE

Empowering DR Assessment: A DenseNet-CBAM Driven Approach

Abstract: Diabetic Retinopathy (DR) is leading cause of blindness that requires timely and accurate diagnosis for effective treatment. This paper presents a novel DR classification method using a ...
Frontiers

Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...
Scientific Research Publishing

Diabetic Retinopathy Detection with Deep Learning: A ResNet-CNN Model Enhanced by Attention Mechanism and Ensemble Learning ()

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 ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...