Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

1.0K
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...
1.0K
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

772
In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
772
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

903
Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
903

You might also read

Related Articles

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

Sort by
Same author

A Geospatial Drug Abuse Risk Assessment and Monitoring Dashboard Tailored for School Students: Development Study With Requirement Analysis and Acceptance Evaluation.

JMIR human factors·2024
Same author

Clinical and Histopathological Effects of Intracameral Ranibizumab in Experimental Trabeculectomy.

International journal of molecular sciences·2023
Same author

Round Randomized Learning Vector Quantization for Brain Tumor Imaging.

Computational and mathematical methods in medicine·2016
Same author

Adaptive localization of focus point regions via random patch probabilistic density from whole-slide, Ki-67-stained brain tumor tissue.

Computational and mathematical methods in medicine·2015
Same author

A modified active appearance model based on an adaptive artificial bee colony.

TheScientificWorldJournal·2014
Same author

Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm.

Computational and mathematical methods in medicine·2014

Related Experiment Video

Updated: Oct 29, 2025

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
10:10

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents

Published on: February 15, 2022

1.6K

Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric

Ali Q Saeed1,2, Siti Norul Huda Sheikh Abdullah1, Jemaima Che-Hamzah3

  • 1Center for Cyber Security, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia.

Journal of Medical Internet Research
|July 8, 2021
PubMed
Summary

Generative Adversarial Networks (GANs) show promise for diagnosing glaucoma, a leading cause of blindness. This review analyzes GAN applications in retinal imaging, highlighting challenges and future research directions for improved disease detection.

Keywords:
blood vesselsdeep learninggenerative adversarial networkglaucomaoptic discretinal diseasesystematic literature review

More Related Videos

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis
13:47

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis

Published on: June 3, 2018

9.5K
Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

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

Published on: May 25, 2020

6.5K

Related Experiment Videos

Last Updated: Oct 29, 2025

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
10:10

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents

Published on: February 15, 2022

1.6K
Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis
13:47

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis

Published on: June 3, 2018

9.5K
Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

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

Published on: May 25, 2020

6.5K

Area of Science:

  • Ophthalmology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Glaucoma is the second leading cause of irreversible blindness globally, necessitating advanced diagnostic tools.
  • Current diagnostic methods require improvement to detect the silent progression of glaucoma.
  • Generative Adversarial Networks (GANs) offer a novel approach for early detection and management of retinal diseases.

Purpose of the Study:

  • To introduce Generative Adversarial Network (GAN) technology for diagnosing eye disorders, specifically glaucoma.
  • To illustrate deep adversarial learning as a potential diagnostic tool for glaucoma.
  • To identify and analyze challenges and pitfalls in implementing GAN technology for glaucoma diagnosis.

Main Methods:

  • A systematic literature review was conducted using keywords related to glaucoma, optic disc, blood vessels, and GANs.
  • Articles were sourced from major scientific databases (IEEE Xplore, Web of Science, Scopus, ScienceDirect, PubMed) published between 2016 and 2020.
  • A large-scale analysis was performed, categorizing studies based on GAN application in retinal image synthesis, segmentation, and classification.

Main Results:

  • Out of 59 reviewed articles, 30 demonstrated practical applications of GANs for image synthesis, segmentation, and classification in retinal diseases.
  • The remaining 29 articles focused on recent GAN advancements, experimental studies, and analytical research in retinal disease detection.
  • GANs have shown encouraging performance in retinal disease detection, particularly in image synthesis for improved analysis.

Conclusions:

  • Generative Adversarial Networks (GANs) demonstrate significant potential for advancing the diagnosis of retinal diseases like glaucoma.
  • Addressing the computational and optimization challenges associated with GANs is crucial for their clinical implementation.
  • This review provides a comprehensive analysis, identifies limitations, and suggests future research directions to enhance GAN-based diagnostic tools for glaucoma.