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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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使用深度学习算法进行医学图像分析.

Mengfang Li1, Yuanyuan Jiang2, Yanzhou Zhang2

  • 1The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Frontiers in public health
|November 29, 2023
PubMed
概括

本文审查了用于医学图像分析的深度学习 (DL) 技术,对CNN和GAN等方法进行分类. 它突出显示了Python和Python.

科学领域:

  • 医学图像分析 医学图像分析
  • 医疗保健中的人工智能
关键词:
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.图像分析图像分析机器学习是机器学习.医学图像 医学图像 医学图像

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  • 深度学习应用程序

    • 背景情况:

    • 深度学习 (DL) 为提高医疗图像分析在医疗保健中的巨大潜力.
    • 现有的DL技术在复杂的医疗数据集的实时分析方面面临挑战.
    • 本综述探讨了医疗图像分析中先进DL方法的需要.

    结论:

    • 本综述提供了当前DL进步和医疗图像分析中的实际应用的全面概述.
    • 获得的见解将指导未来的研究,在医疗保健图像分析方面取得渐进的进步.
    • 需要进一步的研究来克服实施障碍,并充分利用DL在医疗保健中的潜力.