Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Glaucoma: Overview

Glaucoma: Overview

Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

XVCF: Exquisite visualization of VCF data from genomic experiments.

SLAS technology·2026

Same author

Artificial intelligence approaches for schizophrenia prediction and its biomarkers using medical imaging data.

Frontiers in psychiatry·2026

Same author

A spatial and technical assessment of floating offshore wind energy in the red sea using a GIS-AHP framework.

Scientific reports·2026

Same author

Bridging the gap between enthusiasm and competency: a national survey of knowledge, attitudes, and readiness for dental stem cell therapies among Saudi dental practitioners.

Frontiers in oral health·2026

Same author

Interpupillary Distance and Binocular Vision: Assessing the Association Between Anatomy and Sensory-Motor Functions.

Brain sciences·2026

Same author

From prescription to resistance: integrating one health perspectives into dental antibiotic stewardship in Saudi Arabia.

Frontiers in cellular and infection microbiology·2026

Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026

Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026

Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026

Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026

Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026

Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 26, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Peripapillary atrophy classification using CNN deep learning for glaucoma screening.

Abdullah Almansour^1,2, Mohammed Alawad^2,3,4, Abdulrhman Aljouie^2,3,4

¹Department of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.

|October 6, 2022

Summary

This summary is machine-generated.

A new deep learning model effectively detects peripapillary atrophy (PPA), a glaucoma indicator, in fundus images. This AI tool aids ophthalmologists in early glaucoma screening and diagnosis.

More Related Videos

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Related Experiment Videos

Last Updated: Aug 26, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Area of Science:

Ophthalmology
Medical Imaging
Artificial Intelligence

Background:

Glaucoma is a leading cause of global blindness.
Peripapillary atrophy (PPA) is a key morphological sign linked to glaucoma.
Accurate clinical detection of PPA is crucial for timely glaucoma diagnosis.

Purpose of the Study:

To develop a deep learning-based method for detecting PPA in fundus images.
To create a screening tool for ophthalmologists and optometrists.
To evaluate the model's performance using diverse datasets.

Main Methods:

Utilized a Mask R-CNN for region of interest (ROI) localization.
Employed a Convolutional Neural Network (CNN) for PPA classification.
Trained and tested the model on 2,472 images from public and Saudi-based sources.

Main Results:

Achieved Area Under the Curve (AUC) scores of 0.83 (local), 0.89 (public), and 0.87 (combined datasets).
Demonstrated the model's efficacy in identifying PPA across different data sources.
Indicated strong performance for the classification network.

Conclusions:

The developed deep learning model shows promise for assisting glaucoma diagnosis in screening programs.
Further research is recommended for PPA boundary segmentation for detailed analysis.
Integration with optic disc and cup measurements could enhance glaucoma assessment.