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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...
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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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The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle layer, the vascular tunic,...
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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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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

Focal biologically inspired feature for glaucoma type classification.

Jun Cheng1, Dacheng Tao, Jiang Liu

  • 1Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore. jcheng@i2r.a-star.edu.sg

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 19, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using focal biologically inspired features for automatic glaucoma type classification. This approach accurately distinguishes between open-angle and angle-closure glaucoma, aiding in diagnosis.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Glaucoma, an optic nerve disease, causes vision loss and requires accurate type classification (open-angle vs. angle-closure glaucoma) for diagnosis.
  • Manual grading of iridocorneal angle images for glaucoma type is subjective and time-consuming, hindering large-scale clinical application.

Purpose of the Study:

  • To develop an automated method for classifying glaucoma types using focal biologically inspired features.
  • To reduce ophthalmologists' workload and lower glaucoma diagnosis costs through automated classification.

Main Methods:

  • Iris surface localization to identify a focal region.
  • Association of focal biologically inspired features with iridocorneal angle grades.
  • Development of a classification algorithm based on these features.

Main Results:

  • The proposed method achieved 85.2% accuracy for open-angle glaucoma and 84.3% for angle-closure glaucoma.
  • Potential for accuracy improvement to nearly 90% with expanded training datasets.
  • Demonstrated effectiveness of focal biologically inspired features in automatic glaucoma classification.

Conclusions:

  • Focal biologically inspired features provide an effective approach for automatic glaucoma type classification.
  • The developed method can significantly reduce ophthalmologists' workload and diagnostic costs.
  • Automated glaucoma classification holds promise for widespread clinical use.