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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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.
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...

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[Preliminary study on the influence of the dimensional stability of 3D printed resin master model on the replication accuracy of implant replicas].

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Constructing nasal prosthesis morphological data based on a nonrigid registration algorithm.

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相关实验视频

Updated: Jun 30, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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多视图深度学习用于下的地标定位

Zixiang Gao1, Jing Wang2, Zichong An3

  • 1Center of Digital Dentistry/Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Beijing 100081, China.

Journal of dentistry
|December 11, 2025
PubMed
概括

一个新的深度学习框架准确地定位了来自束计算机断层扫描 (CBCT) 的3D模型上的19个下地标. 这种方法比面手术和正牙术的传统方法更快,更精确.

关键词:
人工智能的人工智能自动地标是自动地标.深度学习 (Deep Learning) 是一种深度学习.牙是面部形的一种形式.检测算法 检测算法图像,三维的成像.一个可以口的.

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科学领域:

  • 生物医学工程 生物医学工程
  • 计算机视觉 计算机视觉
  • 放射学 放射学是一门学科.

背景情况:

  • 精确地定位下上的解剖学标志对于有效的面手术和正牙治疗计划至关重要.
  • 目前用于3D模型上的地标识别方法可能耗时且缺乏精度.

研究的目的:

  • 开发和验证一种新的多视图深度学习框架,以提高CBCT扫描产生的3D下表面模型上的地标定位的准确性和效率.

主要方法:

  • 一个多视图堆叠的沙卷积神经网络 (MVSH-CNN) 被提议在3D下模型上定位19个解剖学地标.
  • 该框架在100个CBCT扫描中进行了训练和验证,并在一个独立的40个扫描集 (20个正常,20个不对称) 上进行了测试.
  • 性能与使用欧几里德距离误差和计算时间的MeshMonk非刚性注册方法进行了基准测试.

主要成果:

  • MVSH-CNN的平均局部化误差为1.13 ± 0.85毫米 (正常) 和1.10 ± 0.79毫米 (不对称),明显优于MeshMonk.
  • 每个下的处理时间从356秒大幅缩短到19.65秒.
  • 通过MVSH-CNN定位的超过94%的地标的误差小于2毫米,达到临床值.

结论:

  • MVSH-CNN框架在基于STL的下模型上提供准确,稳健和时间效率高的半自动化3D地标定位.
  • 它超越了传统的基于注册的方法,并为数字牙科,虚拟手术规划和面分析提供了临床可行的解决方案.