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相关概念视频

Spinal Cord: Cross-sectional Anatomy01:16

Spinal Cord: Cross-sectional Anatomy

2.0K
The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
Gray Matter and its Components
Central to the gray matter is...
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Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

1.4K
The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
Sensory Information Processing
Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
1.4K
Spinal Cord: Gross Anatomy01:15

Spinal Cord: Gross Anatomy

3.3K
The spinal cord resides within the protective confines of the vertebral column. It is the main pathway for information traveling between the brain and the body. It plays a fundamental role in nearly all bodily functions, from simple reflexes to complex motor movements. The spinal cord begins at the medulla oblongata at the base of the brainstem and extends downward, terminating at the conus medullaris near the first and second lumbar vertebrae. The spinal cord's length in adults is...
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Spinal Cord01:26

Spinal Cord

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The spinal cord, a critical component of the central nervous system, extends from the base of the brainstem to the lumbar region of the vertebral column. It is essential for maintaining physical stability and facilitating communication between the brain and peripheral parts of the body.
501
Overview of Somatic Sensory Pathways01:29

Overview of Somatic Sensory Pathways

4.6K
Somatic sensory or somatosensory pathways refer to the neural pathways that carry information related to touch, pressure, pain, temperature, and proprioception from the skin, muscles, tendons, and joints to the brain. These pathways involve several stages of processing and integration of sensory information.
The somatosensory system is divided into three main pathways: the dorsal (or posterior) column-medial lemniscus, spinothalamic (or anterolateral), and spinocerebellar pathways.
The dorsal...
4.6K
Spinal Nerves: Anatomy01:23

Spinal Nerves: Anatomy

3.1K
Spinal nerves are pivotal conduits in the nervous system, bridging the central nervous system (CNS) with the peripheral nervous system (PNS). These nerves enable a complex communication network between the brain, spinal cord, and the rest of the body, facilitating sensory input, motor output, and autonomic functions.
There are 31 bilateral pairs of spinal nerves, each emerging from the spinal cord through the intervertebral foramina—openings between adjacent vertebrae. These nerves are...
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相关实验视频

Updated: Jul 14, 2025

Intraspinal Cell Transplantation for Targeting Cervical Ventral Horn in Amyotrophic Lateral Sclerosis and Traumatic Spinal Cord Injury
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通过深度学习方法区分脊髓病理.

Oz Haim1, Ariel Agur2, Segev Gabay2

  • 1Department of Neurosurgery, Tel Aviv Medical Center, Tel-Aviv, Israel; Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.

The spine journal : official journal of the North American Spine Society
|October 5, 2023
PubMed
概括
此摘要是机器生成的。

一个新的深度学习算法可以仅使用MRI扫描来区分脊柱病理,提供更快,更具成本效益的诊断工具. 这种人工智能驱动的方法有助于针对各种脊柱疾病进行有针对性的治疗计划.

关键词:
深度学习 (Deep Learning) 是一种深度学习.诊断 诊断 诊断 诊断 诊断这就是为什么MRI是MRI.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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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Intraspinal Cell Transplantation for Targeting Cervical Ventral Horn in Amyotrophic Lateral Sclerosis and Traumatic Spinal Cord Injury
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科学领域:

  • 人工智能在医学中的应用
  • 脊柱病理诊断 诊断 脊柱病理诊断
  • 医学成像分析 医学成像分析

背景情况:

  • 脊柱病理包括各种疾病,包括传染病,瘤和炎症性疾病.
  • 准确的手术前诊断对于有效的治疗至关重要,当临床和放射学数据不确定时,通常需要侵入性和昂贵的活检.

研究的目的:

  • 开发一种深度学习 (DL) 算法,能够区分主要的脊髓病理.
  • 该算法利用了手术前的磁共振成像 (MRI) 和手术后的病理发现.

主要方法:

  • 从231名患者 (2008-2022) 的临床,放射和病理数据的回顾性分析.
  • 使用Fast.ai框架和PyTorch构建了一个深度学习模型,处理手术前MRI,临床数据和病理结果.
  • 患者根据诊断分层,每种病理至少有25例.

主要成果:

  • 在验证数据集上,DL模型实现了0.78±0.06的平均精度,在测试数据集上达到0.93±0.03.
  • 该模型成功地区分了癌症,感染,脑膜瘤和脑膜瘤.

结论:

  • 仅使用手术前MRI的深度学习算法显示出作为脊柱病理的主要诊断工具的前景.
  • 建议进行进一步的验证和更大规模的研究,以完善该算法,以便广泛的临床应用.
  • 这项技术为快速,有针对性和具有成本效益的患者工作和治疗规划提供了潜力.