影像组学与深度学习在肿瘤放疗中的研究进展

Research progress of radiomics and deep learning in tumor radiotherapy

  • 摘要: 影像组学作为一种非侵入性的图像分析方法,能够深度发掘隐藏在医学影像背后的临床信息。深度学习技术的发展将影像组学研究提升到了新的高度,大量研究结果证实了其在肿瘤放疗中的应用价值。笔者从影像组学的研究背景出发,就其在肿瘤放疗中的研究进展进行综述。

     

    Abstract: As a non-invasive method of image analysis, radiomics can deeply explore the clinical information hidden behind medical images. The development of deep learning technology has promoted radiomics research to a new level, and numerous studies have confirmed its application value in tumor radiotherapy. Based on the research background of radiomics, this paper reviews its research progress in tumor radiotherapy.

     

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