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Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
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相关实验视频

Updated: Jun 3, 2025

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使用前向内镜超声波技术识别脊柱组织.

Jiaqi Yao1, Yiwei Xiang1, Chang Jiang2

  • 1School of Information Science and Technology, ShanghaiTech University, No. 393 Middle Huaxia Road, Pudong New District, Shanghai, 201210 China.

Biomedical engineering letters
|January 9, 2025
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概括

这项研究引入了一种超声波内镜系统,用于在微创脊柱手术 (MISS) 期间实时识别脊柱组织. 深度学习模型,特别是视觉变压器 (ViT),实现了高精度,提高了手术安全.

关键词:
深度学习是一种深度学习.最少侵入性的脊柱手术脊柱组织识别 脊柱组织识别超声波组织的表征.

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科学领域:

  • 生物医学工程 生物医学工程
  • 手术技术 手术技术
  • 医疗成像医学成像

背景情况:

  • 光学内镜的成像深度有限,在微创脊椎手术 (MISS) 中增加风险.
  • 准确识别脊柱软组织对于预防关键组织损伤至关重要.

研究的目的:

  • 开发和评估一个前向的超声波内镜系统,用于自动识别脊髓软组织.
  • 为了提高MISS的手术内组织识别的准确性和有效性.

主要方法:

  • 收集了758个活体绵羊脊髓软组织样本 (脊髓,细胞核,脂肪组织,神经根).
  • 应用常规方法 (GLCM,EWT,VMD) 和深度学习模型 (DenseNet,1D ViT).
  • 基于准确性,特异性和推理延迟的评估模型性能.

主要成果:

  • 深度学习方法 (DenseNet,ViT) 超过了传统方法,达到>95%的准确性.
  • 视觉变压器 (ViT) 模型显示了98.31%的准确性和99.2%的特异性.
  • ViT实现了0.0025秒的低推理延迟,使实时应用成为可能.

结论:

  • 面向前方的超声波内镜系统可用于实时的关键脊柱组织的手术内识别.
  • 这项技术提高了微创脊柱手术的精度和安全性.
  • 深度学习,特别是ViT,显示了改善脊髓组织在手术环境中的识别的巨大潜力.