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相关概念视频

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

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Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
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相关实验视频

Updated: Jul 16, 2025

Subjective Refraction Test Using a Smartphone for Vision Screening
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Published on: October 18, 2024

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自动折射误差估计使用红色反射图像的基于深度学习的分析.

Glenn Linde1, Renoh Chalakkal1, Lydia Zhou2

  • 1oDocs Eye Care, Dunedin 9013, New Zealand.

Diagnostics (Basel, Switzerland)
|September 9, 2023
PubMed
概括
此摘要是机器生成的。

深度学习模型可以从瞳孔红色反射图像中估计折射误差. 这种低成本的方法为早期视力查和干预提供了潜力,特别是近视.

关键词:
基金斯成像技术公司短视近视近视近视近视近视近视近视近红色的反射反应是一种反射.折射误差是因为折射误差.

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Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

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科学领域:

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

背景情况:

  • 折射误差是视力障碍的重要原因之一.
  • 早期检测和干预对于治疗近视等疾病至关重要.
  • 目前的查方法可能很昂贵,在某些地区无法获得.

研究的目的:

  • 评估深度学习模型在从瞳孔红色反射图像中提取折射误差指标时的有效性.
  • 评估使用低成本手持式 fundus 摄像机用于视力查的潜力.
  • 探索一种新的,经济的方法,用于早期检测折射误差.

主要方法:

  • 卷积神经网络使用红外和彩色瞳孔新月图像进行训练.
  • 这些图像来自印度Choithram医院和新西兰Dargaville医疗中心的参与者.
  • 该模型预测了球形和圆柱体功率的折射误差.

主要成果:

  • 性能最好的模型在使用红外图像预测球体功率时达到75%的准确性.
  • 采用多类分类器方法进行预测.
  • 该研究证明了红色反射图像对于折射误差估计的可用性.

结论:

  • 拟议的方法显示了使用红色反射图像估计折射误差的前景,尽管没有达到更高的准确性.
  • 这种新的方法可以指导未来对便携式和基于智能手机的眼睛护理解决方案的研究.
  • 该技术为早期干预提供了一个潜在的快速和经济的视力查方法.