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相关概念视频

Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
Classification of Bones01:18

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The long...
Vertebral Column: Regions and Curvature01:16

Vertebral Column: Regions and Curvature

The vertebral column or spine is a flexible column that supports the head, neck, and body and  allows for their movements. It also protects the spinal cord.
Regions of the Vertebral Column
In an adult, the spine is subdivided into five regions: the cervical, the thoracic, the lumbar, the sacral, and the coccygeal region. The spine initially develops as a series of 33 vertebrae; after 20 years of age, the nine bones in the sacral region, five sacral, and four coccygeal bones fuse to form the...
General Structure of a Vertebra01:30

General Structure of a Vertebra

A typical vertebra, with the exception of the sacrum and coccyx, consists of a body, a vertebral arch, and seven different projections termed processes. The anterior portion of the vertebrae, the body, supports about half the body’s weight. The vertebral bodies progressively increase in size and thickness from the cervical region to the lumbar region of the vertebral column. The intervertebral discs present between the bodies of adjacent vertebrae firmly unites them, forming a continuous column.
Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...
Structural Classification of Joints01:20

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...

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相关实验视频

Updated: Jun 20, 2026

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
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Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

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整个脊柱细分使用对象检测和语义细分的细分.

Raffaele Da Mutten1, Olivier Zanier1, Sven Theiler1

  • 1Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zürich, University of Zürich, Zürich, Switzerland.

Neurospine
|February 6, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种自动化管道,用于在CT扫描中使用YOLOv8m和2D-U-Net进行脊椎细分. 这种方法通过准确识别骨结构,增强了脊柱手术中的虚拟现实应用.

关键词:
算法算法是一种算法.人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习是机器学习.脊柱 脊柱 脊柱 脊柱 脊柱 脊柱

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

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Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
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相关实验视频

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科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 脊柱外科手术 脊柱外科手术

背景情况:

  • 虚拟现实和增强现实越来越多地用于脊柱手术中的规划,训练和导航.
  • 准确识别骨质结构对于3D虚拟重建至关重要.
  • 在CT扫描上手动标记脊椎是耗时的.

研究的目的:

  • 在计算机断层扫描 (CT) 扫描上开发一个完全自动化的脊椎细分管道.
  • 为虚拟/增强现实应用和脊柱外科手术中的放射性分析提供基础.
  • 为了自动化标记脊椎的过程,减少手工劳动.

主要方法:

  • 采用了两阶段的方法,首先是使用YOLOv8m检测脊椎.
  • 然后,在使用2D-U-Net架构的剪切图像上进行语义细分.
  • 模型在一个大型的公共数据集上进行了训练,并在两个额外的数据集上进行了外部验证.

主要成果:

  • 对象检测模型在脊椎识别方面实现了0.84以上的平均平均精度 (mAP50).
  • 细分模型表现出强的性能,平均子得分为0.75 (内部) 和高达0.82 (外部验证).
  • 该管道分别在214和40个CT扫描中进行了训练和验证.

结论:

  • 成功开发了一种强大的,自动化的两阶段管道,用于CT扫描中脊椎检测和细分.
  • 拟议的方法在识别和划分骨结构方面表现出强的表现,适合临床应用.
  • 这种自动化方法可以显著简化虚拟现实辅助脊柱手术和放射性研究中的工作流程.