  Medical imaging is widely used in cancer diagnosis and treatment, and
artificial intelligence (AI) has achieved tremendous success in various tasks
of 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 AI applications in tumor
subregion analysis are discussed.
