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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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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Ultrasonography01:17

Ultrasonography

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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.
During an ultrasonography procedure, a handheld device called...
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相关实验视频

Updated: May 24, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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探索医学图像分析中机器学习研究的基础价值观.

John S H Baxter1, Roy Eagleson2

  • 1Laboratoire Traitement du Signal et de l'Image (LTSI, INSERM UMR 1099), Université de Rennes, Rennes, France.

Medical image analysis
|February 28, 2025
PubMed
概括

本研究探讨了医疗图像分析中机器学习的哲学基础. 它将科学价值与深度学习中的技术决策联系在一起,以改善研究实践.

科学领域:

  • 医疗图像分析 医学图像分析
  • 科学哲学的科学哲学.
  • 机器学习是机器学习.

背景情况:

  • 机器学习,特别是深层人工神经网络,对于现代医学图像分析至关重要.
  • 有效使用需要理解潜在的动机和哲学基础,而不仅仅是算法.
  • 非实证值显著影响科学研究,包括医学成像.

研究的目的:

  • 介绍医学图像分析的特定值.
  • 描述机器学习中的端到端与可分离的学习频谱.
  • 开发一种方法,以严格地将价值与该领域的技术决策联系起来.

主要方法:

  • 科学价值观的哲学分析.
  • 端到端与可分离的学习频谱的表征.
  • 开发一种结构化方法,以实现价值与决策的联系.

主要成果:

  • 建立了一个理解医学图像分析价值观的框架.
  • 详细介绍了学习方法的技术范围.
  • 提供了一种方法来将值与特定的技术选择联系起来.

结论:

关键词:
中间代表机构的代表.机器学习是机器学习.科学哲学的科学哲学.研究价值观研究价值观

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  • 科学哲学可以澄清和改善医学图像分析研究.
  • 了解价值对技术决策的影响至关重要.
  • 严格地将价值观与机器学习实践联系起来,可以提高研究质量.