Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
J Appl Clin Med Phys. 2021 Jul;22(7):10-26. doi: 10.1002/acm2.13321. Epub 2021 Jun 24.
Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial intelligence (AI) has achieved tremendous success in medical image analysis. This paper reviews AI-based tumor subregion analysis in medical imaging. We summarize the latest AI-based methods for tumor subregion analysis and their applications. Specifically, we categorize the AI-based methods by training strategy: supervised and unsupervised. A detailed review of each category is presented, highlighting important contributions and achievements. Specific challenges and potential applications of AI in tumor subregion analysis are discussed.
医学影像在癌症的诊断和治疗中得到了广泛的应用,人工智能(AI)在医学图像分析方面取得了巨大的成功。本文综述了基于人工智能的医学影像肿瘤亚区分析。我们总结了最新的基于人工智能的肿瘤亚区分析方法及其应用。具体来说,我们根据训练策略对基于人工智能的方法进行分类:监督式和无监督式。对每一类方法进行了详细的回顾,突出了重要的贡献和成果。讨论了人工智能在肿瘤亚区分析中面临的具体挑战和潜在应用。