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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

954
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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Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

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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...
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Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

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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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Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies.

V Elizabeth Jesi1, Shabnam Mohamed Aslam2, G Ramkumar3

  • 1Department of Networking and Communications, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamilnadu, India.

Contrast Media & Molecular Imaging
|December 15, 2021
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Summary
This summary is machine-generated.

Early glaucoma detection is crucial for preventing blindness. A new Depth Optimized Machine Learning Strategy (DOMLS) using Optical Coherence Tomography (OCT) images achieves over 96.2% accuracy in identifying early glaucoma stages.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Machine Learning

Background:

  • Glaucoma is a leading cause of irreversible blindness, characterized by optic nerve damage.
  • Early detection is critical for managing glaucoma and preventing vision loss, but structural changes can be complex to diagnose.
  • The Cup to Disc Ratio (CDR) is a key indicator, but its accurate estimation in early stages remains challenging.

Purpose of the Study:

  • To introduce a novel machine learning strategy for early glaucoma detection using Optical Coherence Tomography (OCT) images.
  • To enhance diagnostic accuracy and reduce the error rate in identifying glaucoma.
  • To provide an efficient tool for ophthalmologists to diagnose glaucoma in its initial stages.

Main Methods:

  • Development of a Depth Optimized Machine Learning Strategy (DOMLS) incorporating Modified K-Means Optimization Logic (MkMOL).
  • Utilized Region of Interest (ROI)-based selection for precise identification of the optical cup (OC) and optical disc (OD) in OCT images.
  • Validated the algorithm's performance on OCT scans for glaucoma diagnosis.

Main Results:

  • The DOMLS approach achieved a diagnostic accuracy exceeding 96.2%.
  • The proposed method demonstrated a minimal error rate of 0.002%.
  • The algorithm effectively identified early-stage glaucoma markers in OCT images.

Conclusions:

  • The DOMLS, with MkMOL, offers a highly accurate and efficient method for early glaucoma detection.
  • This strategy holds significant potential for improving patient outcomes by enabling timely intervention.
  • The use of OCT imaging combined with advanced machine learning provides a robust solution for glaucoma diagnosis.