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相关概念视频

Unsoundness of Aggregate due to Volume Change01:26

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Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
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Control Volume and System Representations01:16

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Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Differential Leveling01:12

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Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
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Perceiving Loudness, Pitch, and Location01:21

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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
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Introduction and Methods of Leveling01:26

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Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
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Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
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强大的AMD阶段分级,使用独家OCTA模式,利用3D体积.

Haochen Zhang1, Anna Heinke2, Carlo Miguel B Galang2

  • 1Electrical and Computer Engineering Department, UC San Diego.

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|August 23, 2024
PubMed
概括
此摘要是机器生成的。

使用光学连贯断层扫描血管学 (OCTA) 的深度学习分类器可以准确地分类与年龄相关的黄斑退化 (AMD). 分析3D OCTA卷直接提高了准确性,在AMD分期中表现优于人类专家.

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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:

  • 与年龄相关的黄斑退化 (AMD) 导致中心视力丧失.
  • 光学一致性断层扫描血管图 (OCTA) 可视化了AMD中的致病血管.
  • 目前的诊断方法可能是有限的.

研究的目的:

  • 通过使用深度学习来评估OCTA对AMD阶段分级的有效性.
  • 从OCTA数据开发一个强大的深度学习模型来对AMD进行分类.
  • 在AMD分期中,将AI性能与人类专家进行比较.

主要方法:

  • 使用OCTA投影开发了一个2D分类器.
  • 识别了影响分类准确性的细分错误.
  • 建议使用2D CNN与投影监督进行3D OCTA体积分析.

主要成果:

  • 在一个四阶段的AMD分级任务中实现了超过80%的准确性.
  • 3D体积分析仪在细分错误的情况下表现出稳健性.
  • 人工智能性能明显超过了人类专家60%的准确性.

结论:

  • OCTA包含足够的信息来准确分类AMD的阶段.
  • 直接的3DOCTA体积分析提高了分类的稳定性和准确性.
  • 深度学习模型显示出对客观和精确的AMD评估有希望.