Article

EyeDx: A Scalable and Interpretable Multitask Deep Learning Framework for Comprehensive Ocular Disease Detection in Fundus Images

2026-05-12

Abstract excerpt

<title>Abstract</title> <p>Diabetic retinopathy, glaucoma, and cataracts are leading causes of vision loss worldwide. However, access to eye screening remains limited. Deep learning models can assist in early detection, but many current studies lack clinical relevance because they focus on single-disease detection, have limited dataset diversity, lack sufficient methodological transparency, and provide minimal in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6213209c-c62e-5766-b1fe-3bcf36e91770
DOI: 10.21203/rs.3.rs-9371823/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

EyeDx: A Scalable and Interpretable Multitask Deep Learning Framework for Comprehensive Ocular Disease Detection in Fundus ImagesDOI 10.21203/rs.3.rs-9371823/v1Read

Deep Learning Framework for Multiclass Detection of Ocular Diseases in Fundus ImagesSemantic proximity Read

EDNet-20: Enhancing Multi-Label Ocular Disease Detection through Deep Learning OptimizationSemantic proximity Read

Eye Disease Classification by Advanced Deep Transfer Learning System Using Resnet50 & XceptionSemantic proximity Read

Multi-task Deep Learning for Glaucoma Detection From Color Fundus ImagesSemantic proximity Read

Eye Disease Classification from OCT ImagesSemantic proximity Read

Enhancing Glaucoma Detection through Supervised Pre-training with Intermediate Phenotypes: A Multi-Institutional StudySemantic proximity Read

A Tutorial on Automated Classification of Eye Diseases Using Deep LearningSemantic proximity Read

UWF-FM: A Foundation Model for Comprehensive Ultra-Widefield Retinal AssessmentSemantic proximity Read

Deep Learning for Diabetic Retinopathy Detection: A Review of Multimodal Data Fusion ApproachesSemantic proximity Read

Applications of Artificial Intelligence in Optometric Diagnostics: A Review of Techniques and Clinical ImpactSemantic proximity Read

A generalized computer vision model for improved glaucoma screening using fundus imagesSemantic proximity Read

GRAD-Net: A Unified Pathology-Guided Framework for Automated Diabetic Retinopathy GradingSemantic proximity Read