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.

中文翻译：

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基于医学影像的人工智能肿瘤分区分析：综述


医学影像广泛应用于癌症的诊断和治疗，人工智能（AI）在医学图像分析方面取得了巨大成功。本文综述了医学影像中基于人工智能的肿瘤分区分析。我们总结了最新的基于人工智能的肿瘤分区分析方法及其应用。具体来说，我们通过训练策略对基于人工智能的方法进行分类：有监督的和无监督的。对每个类别进行了详细回顾，强调了重要的贡献和成就。讨论了人工智能在肿瘤亚区域分析中的具体挑战和潜在应用。