Article

Deep Learning–Assisted Topological Analysis of Optic Nerve Head Structures Improves Glaucoma Detection in Highly Myopic Eyes

2026-05-28

Abstract excerpt

<title>Abstract</title> <p>Background Diagnosing glaucoma in highly myopic (HM) eyes remains challenging due to myopia-induced structural alterations of the optic nerve head (ONH) that confound conventional imaging biomarkers and deep learning models. This study proposes a shape-topology-based diagnostic framework that integrates deep learning–based ONH tissue segmentation with persistent homology (PH) analysis...

Topics

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

Identifiers and source

Literature Corpus work: 680f062f-22d7-5ea7-8c23-c1ea131cadb8
DOI: 10.21203/rs.3.rs-9535076/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning–Assisted Topological Analysis of Optic Nerve Head Structures Improves Glaucoma Detection in Highly Myopic EyesDOI 10.21203/rs.3.rs-9535076/v1Read

3D Structural Phenotype of the Optic Nerve Head in Glaucoma and Myopia-A Key to Improving Glaucoma Diagnosis in Myopic Populations.Semantic proximity Read

Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence.Semantic proximity Read

Three-Dimensional Structural Phenotype of the Optic Nerve Head as a Function of Glaucoma Severity.Semantic proximity Read

Dense Optic Nerve Head Deformation Estimated using CNN as a Structural Biomarker of Glaucoma ProgressionSemantic proximity Read

DINO-EYE: Self-Supervised Learning for Identification of Different Optic Disc Phenotypes in Primary Open Angle GlaucomaSemantic proximity Read

Deep learning based models to study the effect of glaucoma genes on angle dysgenesis in-vivoSemantic proximity Read

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

Deep Learning based Intraretinal Layer Segmentation using Cascaded Compressed U-NetSemantic proximity Read

Advanced Machine Learning Techniques for Retinal Lesion Segmentation: A Comprehensive Review Across Ophthalmic PathologiesSemantic proximity Read

Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.Semantic proximity Read

Circular functional analysis of OCT data for precise identification of structural phenotypes in the eyeSemantic proximity Read

Deep Learning for Ultra-Widefield Imaging: A Scoping ReviewSemantic proximity Read