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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...
Accessory Structures of the Eye01:17

Accessory Structures of the Eye

Optical perception, or vision, is an extraordinary sense dependent on converting light signals received via the ocular organs. These organs, known as eyes, are securely positioned within the bony cavities of the skull, called orbits. The orbits serve a dual purpose: a protective shield for the ocular globes and a stable attachment point for the soft ocular tissues. The eye's external protective mechanisms include the eyelids, which are edged with lashes that act as a barrier against foreign...

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Related Experiment Video

Updated: May 19, 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

STAGE challenge: Structural-Functional Transition in Glaucoma Assessment.

Shiqi Zhou1, Yuancong Liang1, Huihui Fang2

  • 1School of Future Technology, South China University of Technology, Guangzhou, China; Pazhou Lab, Guangzhou, China.

Medical Image Analysis
|May 17, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces the STAGE Challenge, a new benchmark for predicting glaucoma's functional visual field loss from structural OCT scans using deep learning. The challenge highlights the effectiveness of task-specific models in linking ocular structure to visual function.

Keywords:
GlaucomaRetinal OCTStructural-function transitionVF examination

Related Experiment Videos

Last Updated: May 19, 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

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Glaucoma is a primary cause of irreversible blindness, with diagnosis relying on time-consuming visual field (VF) tests.
  • Current deep learning models for glaucoma often focus on structural images (OCT, fundus) but neglect functional VF outcomes.

Purpose of the Study:

  • To bridge the gap between structural imaging and functional vision assessment in glaucoma.
  • To establish a standardized benchmark and dataset for evaluating algorithms that predict functional VF indicators from structural OCT images.

Main Methods:

  • The STAGE Challenge utilized a dataset of 401 OCT volumes with corresponding VF labels and demographic data.
  • Seven finalist teams developed dual-branch deep learning architectures integrating OCT and tabular data.
  • Task-specific OCT models were investigated for improved performance in predicting VF indicators.

Main Results:

  • All participating teams employed dual-branch architectures combining OCT and tabular data.
  • Models utilizing task-specific OCT approaches demonstrated superior performance in predicting glaucoma's functional visual field indicators.
  • The challenge provided a standardized framework for comparing structure-function analysis algorithms.

Conclusions:

  • Tailored deep learning strategies are crucial for accurately linking structural imaging data to functional outcomes in glaucoma assessment.
  • The STAGE Challenge dataset and framework serve as a foundation for future research in glaucoma structure-function analysis.