Article

Comparison of Foundation and Supervised Learning-Based Models for Detection of Referable Glaucoma from Fundus Photographs

2025-08-24

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> To compare the performance of a foundation model and a supervised learning-based model for detecting referable glaucoma from fundus photographs. <h4>Design</h4> Evaluation of diagnostic technology. <h4>Participants</h4> 6,116 participants from the Los Angeles County Department of Health Services Teleretinal Screening Program. <h4>Methods</h4> Fundus photographs were labeled...

Topics

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

Identifiers and source

Literature Corpus work: d31c2326-c196-5dee-95b3-d338e33e7c31
DOI: 10.1101/2025.08.21.25334170

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comparison of Foundation and Supervised Learning-Based Models for Detection of Referable Glaucoma from Fundus PhotographsDOI 10.1101/2025.08.21.25334170Read

Expert-Level Detection of Referable Glaucoma from Fundus Photographs in a Safety Net Population: The AI and Teleophthalmology in Los Angeles InitiativeSemantic proximity Read

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

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

Glaucoma Detection Using Deep Learning and Prompt-Based Explainable Report GenerationSemantic proximity Read

Deriving OCT-Equivalent Retinal Nerve Fiber Layer Thickness Maps from Fundus Photographs with Deep Learning Improves Glaucoma DiagnosisSemantic proximity Read

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

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

CausalFund: Causality-Inspired Domain Generalization in Retinal Fundus Imaging for Low-Resource ScreeningSemantic proximity Read

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

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

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

Autonomous Screening for Laser Photocoagulation in Fundus Images Using Deep LearningSemantic proximity Read