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相关概念视频

Overview of Anatomy and Physiology01:24

Overview of Anatomy and Physiology

Human anatomy is the scientific study of the body's structures. Some of these structures are very small and can only be observed and analyzed with the assistance of a microscope. Other larger structures can readily be seen, manipulated, measured, and weighed. The word "anatomy" comes from a Greek root that means "to cut apart." Human anatomy was first studied by observing the body's exterior and the wounds of soldiers and other injuries. Later, physicians were allowed to dissect the bodies of...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

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相关实验视频

Updated: Jul 9, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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医学图像分析的自我监督学习框架应用:一篇综述和摘要

Xiangrui Zeng1, Nibras Abdullah2, Putra Sumari3

  • 1School of Computer Sciences, Universiti Sains Malaysia, USM, 11800, Pulau Pinang, Malaysia. xavierzeng@student.usm.my.

Biomedical engineering online
|October 28, 2024
PubMed
概括

自主监督学习通过使用未标记的数据来减少医疗AI的手动注释. 这篇评论检查了CT,MRI和X射线成像方面的方法,指导了未来的研究.

关键词:
在美国,CNN是CNN.计算机视觉 计算机视觉 计算机视觉医学图像 医学图像自己监督的自我监督.变压器变压器变压器

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科学领域:

  • 人工智能的人工智能
  • 医疗成像医学成像
  • 机器学习 机器学习

背景情况:

  • 医疗图像的手动注释是耗时的,昂贵的,并引入了偏见.
  • 医疗数据的快速增长阻碍了监督学习的进展.
  • 自主监督学习 (SSL) 通过利用未标记的数据提供了一个解决方案.

研究的目的:

  • 为医疗成像中SSL方法提供全面的审查.
  • 从2018年到2024年9月,系统地检查SSL应用程序.
  • 引导医疗专业人员将SSL整合到他们的研究中.

主要方法:

  • 在医学成像中对SSL进行系统的文献审查.
  • 分析各种方法 (CT,MRI,X射线,组织学,超声波) 的研究.
  • 应用程序的分类,包括分类,细分和性能增强.

主要成果:

  • CT和MRI主导SSL研究,其次是X射线,组织学和超声波.
  • 对比式学习比生成式学习更为普遍,除了CT和MRI.
  • 分段任务和MRI/超声波分类显示了进一步发展的潜力.

结论:

  • SSL有效地解决了医疗成像中手动注释的局限性.
  • 该审查突出了研究趋势,并确定了未来SSL探索的领域.
  • 对于在医疗保健领域推进人工智能,SSL具有重大前景.