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相关概念视频

Glaucoma: Overview01:25

Glaucoma: Overview

505
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...
505
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...
435
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

391
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...
391

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青光眼的检测:双眼方法和机器学习中的临床数据.

Oleksandr Kovalyk-Borodyak1, Juan Morales-Sánchez1, Rafael Verdú-Monedero1

  • 1Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.

Artificial intelligence in medicine
|December 19, 2024
PubMed
概括

这项研究引入了一种新型的机器学习方法,用于早期青光眼的诊断,利用来自眼睛和临床信息的数据. 结合来自两只眼睛的数据,可显著提高自动眼镜检测的诊断准确性.

关键词:
两个眼睛 眼睛 眼睛 眼睛在美国,CNN是CNN.临床数据 临床数据深度学习是一种深度学习.青光眼的诊断 青光眼的诊断渐变增强的决策树.眼球底部成像 眼球底部成像这就是 SHAP SHAP 的意思.

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科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 机器学习 机器学习

背景情况:

  • 传统上,青光眼的诊断依赖于单眼的数据.
  • 通过整合多模式数据,可以增强自动诊断方法.
  • 需要新的方法来提高早期眼的检测准确度.

研究的目的:

  • 开发和评估一种用于自动化早期青光眼诊断的多模式机器学习方法.
  • 调查使用双眼 (双眼模式) 与单眼数据 (单眼模式) 的同时数据的好处.
  • 将直接 fundus 图像的性能与专家细分的形态数据进行比较.

主要方法:

  • 利用PAPILA数据集,包括眼底图像,临床数据和专家细分.
  • 开发了一个双眼模式,整合了两只眼睛的数据,与单眼的基线形成了对比.
  • 使用渐变增强的决策树 (GBDT) 和卷积神经网络 (CNN),包括MobileNet,VGG16,ResNet-50和Inception.
  • 应用SHAP值和深度解释器用于模型可解释性.

主要成果:

  • 双眼方法,结合形态和临床数据,实现了0.796 (±0.003) 的曲线下面积 (AUC).
  • 使用双眼方法的CNN模型实现了0.764 (±0.005) 的AUC.
  • 研究结果表明,在考虑两只眼睛的数据时,模型的性能得到了改善.

结论:

  • 同时使用来自两只眼睛的眼底图像和临床数据,可以提高自动化玻璃眼病诊断.
  • 拟议的多模模式机器学习方法为早期眼病检测提供了一个有前途的途径.
  • 整合来自两只眼睛的数据是一种可行的策略,可以提高青光眼查的诊断准确性.