Zhen Hou, Shuangshuang Li, Jing Yan. Research progress of radiomics and deep learning in tumor radiotherapy[J]. Int J Radiat Med Nucl Med, 2020, 44(12): 744-749. DOI: 10.3760/cma.j.cn121381-202004004-00107
Citation: Zhen Hou, Shuangshuang Li, Jing Yan. Research progress of radiomics and deep learning in tumor radiotherapy[J]. Int J Radiat Med Nucl Med, 2020, 44(12): 744-749. DOI: 10.3760/cma.j.cn121381-202004004-00107

Research progress of radiomics and deep learning in tumor radiotherapy

  • 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.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return