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相关概念视频

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Brain Imaging01:14

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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相关实验视频

Updated: Jul 21, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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最近,基于变压器的医学图像分析取得了进展.

Zhaoshan Liu1, Qiujie Lv2, Ziduo Yang2

  • 1Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore.

Computers in biology and medicine
|July 26, 2023
PubMed
概括
此摘要是机器生成的。

变压器最初用于自然语言处理,在计算机视觉 (CV) 中显示出很大的希望,用于医疗图像分析 (MIA). 本综述详细介绍了它们在各种MIA任务中的应用和卓越性能.

关键词:
注意力机制注意力机制卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.医疗图像分析 医学图像分析变压器变压器变压器

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科学领域:

  • 计算机视觉 计算机视觉
  • 医学图像分析 医学图像分析
  • 人工智能的人工智能

背景情况:

  • 来自自然语言处理的变压器越来越多地被采用在计算机视觉中.
  • 医学图像分析 (MIA) 是计算机视觉中的一个关键领域,可以从变压器技术中显著受益.

研究的目的:

  • 审查转换器在医学图像分析中的最新进展和应用.
  • 提供对变压器架构及其与MIA相关的核心关注机制的全面概述.
  • 讨论基于变压器的方法在各种MIA任务中的性能与现有方法相比.

主要方法:

  • 回顾变压器的注意力机制和详细结构.
  • 在MIA中系统地组织变压器应用程序,跨越分类,细分和合成等任务.
  • 对11种医学图像模式的变压器性能进行分析,用于分类和细分.

主要成果:

  • 基于变压器的方法在多个MIA任务中表现出比现有技术更好的性能.
  • 实验显示,在MIA中的变压器应用中,各种评估指标的显著改进.
  • 该审查涵盖了广泛的应用,包括分类,细分,标题,注册,检测,增强,本地化和合成.

结论:

  • 变压器是一种最先进的技术,具有很大的潜力来推进医疗图像分析.
  • 对于在MIA中进一步开发和应用变压器,存在开放的挑战和未来的机会.
  • 这个任务模式审查为更广泛的MIA社区提供了有价值的见解.