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相关概念视频

Classification of Bones01:18

Classification of Bones

7.3K
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...
7.3K
Structural Classification of Joints01:20

Structural Classification of Joints

4.2K
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...
4.2K
Functional Classification of Joints01:09

Functional Classification of Joints

4.9K
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...
4.9K
Bone Remodeling01:40

Bone Remodeling

38.5K
Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
38.5K
Bone Structure01:55

Bone Structure

49.1K
Within the skeletal system, the structure of a bone, or osseous tissue, can be exemplified in a long bone, like the femur, where there are two types of osseous tissue: cortical and cancellous.
49.1K
Gross Anatomy of Bone01:17

Gross Anatomy of Bone

6.5K
The two main features of a long bone are the diaphysis and the epiphysis.
The diaphysis is the tubular shaft that runs between the proximal and distal ends of the bone. The walls of the diaphysis are composed of dense and hard compact bone made of numerous osteons — the functional unit of the compact bone. The hollow region in the diaphysis is called the medullary cavity, which harbors the bone marrow. In infants and children, this marrow cavity is filled with red marrow, whereas in...
6.5K

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相关实验视频

Updated: Sep 15, 2025

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

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自动化关节空间检测提高了骨段的精度.

H Mark Kenney1,2,3, Daniel Lichau4, Rémi Blanc4

  • 1Center for Musculoskeletal Research, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, USA, 14642.

bioRxiv : the preprint server for biology
|July 14, 2025
PubMed
概括
此摘要是机器生成的。

深度学习模型从微型CT扫描中显著改善了从微型CT扫描中对老鼠爪解剖的自动细分,优于以前的方法. 这种先进的技术增强了在健康和关节炎条件下复杂的骨结构的研究.

关键词:
微型CT技术的使用关节炎是一种关节炎.深度学习是一种深度学习.图像分析图像分析图像处理是图像处理的过程.细分化 细分化的细分化

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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
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相关实验视频

Last Updated: Sep 15, 2025

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
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Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects

Published on: June 24, 2025

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科学领域:

  • 生物医学成像技术 生物医学成像技术
  • 计算解剖学的计算解剖学
  • 深度学习应用程序

背景情况:

  • 复杂的解剖结构的手动细分是劳动密集型的,容易变化.
  • 数字图像分析,特别是深度学习 (DL),为地标检测提供了自动化解决方案.
  • 现有的半自动化 (SA) 方法在准确性和效率方面存在局限性.

研究的目的:

  • 开发和评估一个监督的深度学习模型,用于对小鼠脚关节的自动细分.
  • 为了比较DL模型与半自动化方法的性能.
  • 在健康和关节炎小鼠模型中评估模型的准确性.

主要方法:

  • 微型计算机断层扫描 (micro-CT) 数据集的监督分析,对小鼠的后腿和前腿.
  • 开发了一个3D U-Net DL模型,配备ResNet-18骨干,用于联合空间预测.
  • 整合结构增强,张量投票和输出扩展到细分管道中.
  • 使用野生类型 (WT) 后翼标签作为训练和测试的基本真相.

主要成果:

  • 与SA方法相比,DL模型在WT小鼠中实现了显著更高的细分精度 (例如,WT雄性:DL 98.16%与SA 79.39%).
  • 在患有炎性侵蚀性关节炎的转基因瘤亡因子 (TNF-Tg) 鼠群中,精度下降,与疾病严重程度和年龄相关.
  • 前肢细分精度也随着TNF-Tg小鼠关节炎严重程度的增加而下降.

结论:

  • 监督的DL模型大大优于SA的方法来细分健康的小鼠脚关节.
  • 该模型显示出研究复杂骨解剖学的潜力,但在疾病修饰数据集中表现较差.
  • 需要进一步开发以优化DL模型的复杂和病理解剖变异.