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相关概念视频

Glaucoma: Overview01:25

Glaucoma: Overview

594
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...
594
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

458
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...
458
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

528
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...
528

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相关实验视频

Updated: Jul 11, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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使用由生成算法指导的深度学习框架预测眼的进展.

Shaista Hussain1, Jacqueline Chua2,3, Damon Wong2,4,5

  • 1Institute of High Performance Computing, A*STAR, Singapore, Singapore. hussains@ihpc.a-star.edu.sg.

Scientific reports
|November 15, 2023
PubMed
概括
此摘要是机器生成的。

这项研究开发了一个深度学习模型,使用光学连贯性断层扫描 (OCT) 和视野 (VF) 数据来预测青光眼的进展. 该模型比目前的方法更早地准确预测视力损失,有助于定制患者治疗.

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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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相关实验视频

Last Updated: Jul 11, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 玻璃眼是一种渐进的视神经病变,导致失明.
  • 准确预测青光眼的进展对于个性化治疗至关重要.
  • 当前视野 (VF) 测试不一致,阻碍了可靠的进展跟踪.

研究的目的:

  • 开发一种多式深度学习模型,用于预测青光眼的进展.
  • 利用光学连贯断层扫描 (OCT) 图像和VF数据来提高预测准确度.
  • 评估使用合成OCT图像用于早期发现青光眼的有效性.

主要方法:

  • 开发了一个结合卷积神经网络 (CNN) 和长短期记忆 (LSTM) 的深度学习模型.
  • 该模型整合了OCT图像,VF值和12个月内来自86名青光眼患者的临床数据.
  • 使用生成对抗网络 (GAN) 合成未来的OCT图像进行预测.

主要成果:

  • 多式模式的模型实现了0.83的AUC,预测了6个月早些时候的青光眼的进展.
  • 使用合成未来的OCT图像提高了预测准确性,在9个月前的预测中达到0.81的AUC.
  • 该模型的表现优于仅基于结构性 (AUC=0.68) 或功能性 (AUC=0.72) 措施的预测.

结论:

  • 拟议的深度学习方法有效地使用多式联络数据预测眼病的进展.
  • 合成OCT图像生成增强了对青光眼的早期检测能力.
  • 这种新的方法为及时干预和治疗眼患者提供了一个有前途的工具.