Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
It provides a comprehensive overview for researchers and clinicians in medical imaging and oncology, but it is incremental as a review paper.
This paper reviews AI-based methods for tumor subregion analysis in medical imaging, summarizing supervised and unsupervised approaches and discussing challenges and potential applications.
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.