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Glaucoma: Overview01:25

Glaucoma: Overview

771
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...
771
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

577
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...
577
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

691
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: Sep 14, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Guidelines for glaucoma imaging classification, annotation, and quality control for artificial intelligence

Wei-Hua Yang1, Yan-Wu Xu2,3, Xing-Huai Sun4

  • 1Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen 518040, Guangdong Province, China.

International Journal of Ophthalmology
|July 21, 2025
PubMed
Summary
This summary is machine-generated.

This guideline establishes standardized methods for classifying and annotating glaucoma images using artificial intelligence (AI). It aims to improve early diagnosis and management of glaucoma through consistent, high-quality AI-driven image analysis.

Keywords:
annotationartificial intelligenceclassificationglaucomaguidelineprocessesquality control

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Area of Science:

  • Ophthalmology and Medical Imaging
  • Artificial Intelligence in Healthcare

Background:

  • Glaucoma, characterized by elevated intraocular pressure and optic nerve damage, can lead to irreversible vision loss.
  • Artificial intelligence (AI) offers new avenues for early glaucoma diagnosis and management through automated image analysis.
  • Current research utilizes various imaging modalities like CFP, OCT, AS-OCT, and UBM for glaucoma assessment.

Purpose of the Study:

  • To develop a standardized guideline for the classification and annotation of glaucoma-related images.
  • To enhance the quality and consistency of annotated data for AI models.
  • To facilitate the clinical application of AI in ophthalmology for glaucoma management.

Main Methods:

  • Systematic elaboration of principles, methods, and processes for glaucoma image classification and annotation.
  • Inclusion of quality control requirements for annotated data.
  • Focus on specific imaging techniques: CFP for optic disc/cup, OCT for RNFL thickness, AS-OCT and UBM for anterior segment structures.

Main Results:

  • Provides standardized guidance for classifying and annotating glaucoma images across different modalities.
  • Aims to improve the accuracy and reliability of AI models in glaucoma detection.
  • Establishes a framework for consistent data annotation essential for AI development.

Conclusions:

  • Standardized image classification and annotation are crucial for advancing AI in glaucoma diagnosis.
  • This guideline supports the development of robust AI tools for intelligent ophthalmology.
  • Implementation of this guideline will promote more effective early detection and management of glaucoma.