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相关概念视频

Visual System01:26

Visual System

553
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
553
Parallel Processing01:20

Parallel Processing

145
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
145
Vision01:24

Vision

53.0K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
53.0K

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相关实验视频

Updated: Jun 11, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

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以视觉认知机制为灵感,用于眼部疾病检测的并行多路径网络.

Tao Deng, Yi Huang, Chengfan Yang

    IEEE journal of biomedical and health informatics
    |September 30, 2024
    PubMed
    概括

    一个新的计算机辅助诊断 (CAD) 模型,PMP-OD,有效地选多种眼睛疾病,如白内障和眼光. 这种方法通过克服眼科医疗资源的局限性来提高视力健康.

    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:

    • 由于白内障,绿内障和糖尿病视网膜病变造成的非先天性视力障碍,对公众健康构成重大挑战.
    • 眼科资源有限,阻碍了对这些疾病的广泛查和诊断.
    • 计算机辅助诊断 (CAD) 为早期检测提供了一个可扩展的解决方案.

    研究的目的:

    • 开发和评估一种新的并行多路径网络 (PMP-OD),用于综合检测常见的眼部疾病.
    • 模拟人类视觉认知,以改善 fundus 图像中的特征提取.
    • 为了解决对视力障碍的高效,大规模查的需求.

    主要方法:

    • 提出了一个以人类视觉认知为灵感的并行多路径网络 (PMP-OD).
    • 使用低级特征提取模块进行自下而上的特征提取 (模拟非选择性路径).
    • 采用高层特征提取模块用于上下血管和病变特征提取 (模拟选择性途径).
    • 综合功能使用基于注意力的机制来加强诊断.
    • 在一个结合眼病数据集上训练并验证了模型.

    主要成果:

    • 与现有的最先进的方法相比,PMP-OD模型表现出优越的性能.

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    Last Updated: Jun 11, 2025

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    Published on: April 11, 2025

    303
    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
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  • 在同时检测多种眼部疾病方面取得了高准确性.
  • 平行多路径架构有效地捕获了低级和高级特征.
  • 结论:

    • PMP-OD模型为多种疾病的眼部查提供了一个有前途的CAD方法.
    • 以人类视觉认知为灵感的设计提高了诊断准确度.
    • 这项技术可以帮助缓解眼科医疗资源的短缺,并改善患者的治疗结果.