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相关概念视频

Glaucoma: Overview01:25

Glaucoma: Overview

560
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...
560
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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相关实验视频

Updated: Jun 27, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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通过联合机器学习和深度学习模型来检测眼的混合框架.

Abeer Aljohani1, Rua Y Aburasain2

  • 1Department of Computer Science , Applied College, Taibah University, Medina, 42353, Kingdom of Saudi Arabia. aahjohani@taibahu.edu.sa.

BMC medical informatics and decision making
|May 2, 2024
PubMed
概括

本研究介绍了一种使用机器学习 (ML) 和深度学习 (DL) 的混合框架,用于从视网膜图像中准确检测青光眼. 该系统达到95.41%的准确性,有助于早期诊断和预防视力丧失.

关键词:
卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.功能提取 功能提取玻璃眼 glaucoma 是一种眼睛疾病.图像处理和分类 图像处理和分类机器学习是机器学习.

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科学领域:

  • 眼科医生 眼科 眼科
  • 计算机科学 计算机科学
  • 医疗成像医学成像

背景情况:

  • 玻璃眼是导致失明的主要原因,往往无症状地进展.
  • 及时检测至关重要,以防止不可逆转的视力丧失.

研究的目的:

  • 开发一种先进的计算机系统,用于准确检测青光眼.
  • 整合机器学习 (ML),卷积神经网络 (CNN) 和图像处理,以提高诊断能力.

主要方法:

  • 开发了一个混合框架,结合了CNN (ResNet50,VGG-16) 和随机森林.
  • 视网膜图像被模型独立分析.
  • 后处理规则 综合预测,以进行全面的青光眼评估.

主要成果:

  • 混合框架实现了95.41%的准确性.
  • 精度达到了99.37%,召回率达到了88.37%,F1得分达到了93.52%.
  • 这些指标证明了该框架在青光眼诊断中的稳健性.

结论:

  • 这项研究引入了一种创新的混合框架,用于眼的检测.
  • 使用CNN和ML模型的整体方法显示了早期诊断的巨大潜力.
  • 这种方法为眼科医疗保健的进步和预防视力丧失提供了有希望的途径.