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Related Concept Videos

Glaucoma: Overview01:25

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...
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

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...
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

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...

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Related Experiment Video

Updated: May 25, 2026

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

Automatic glaucoma diagnosis from fundus image.

J Liu1, F S Yin, D W K Wong

  • 1Institute for Infocomm Research, A*STAR, Singapore. jliu@i2r.a-star.edu.sg

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

An automated system using fundus images can measure the cup-to-disc ratio for objective glaucoma diagnosis. This technology supports early detection and mass screening in primary healthcare settings.

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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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Published on: May 25, 2020

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
07:22

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Published on: March 11, 2016

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Glaucoma diagnosis typically requires specialized imaging devices (HRT, OCT) used by glaucoma specialists.
  • Fundus imaging is a common modality in primary healthcare, offering accessibility.
  • Current diagnostic methods can be resource-intensive and may not be widely available for early screening.

Purpose of the Study:

  • To develop an automated system for measuring the cup-to-disc ratio from fundus images.
  • To evaluate the potential of this system for objective glaucoma diagnosis and screening.
  • To support the use of fundus imaging as a primary tool for automated glaucoma detection.

Main Methods:

  • Development of an algorithm for automatic cup-to-disc ratio measurement from fundus images.
  • Utilizing fundus photography, a widely available imaging technique.
  • System designed for deployment in primary healthcare settings.

Main Results:

  • Successful implementation of an automatic cup-to-disc ratio measurement system.
  • Demonstrated potential for objective glaucoma diagnosis based on fundus images.
  • Indicated feasibility for automated glaucoma screening programs.

Conclusions:

  • Fundus image analysis offers a viable approach for automated glaucoma diagnosis.
  • The developed system can facilitate early disease detection and large-scale screening.
  • Supports the integration of fundus imaging into primary healthcare for glaucoma management.