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.
@article{arxiv.2103.13588,
title = {Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review},
author = {Mingquan Lin and Jacob Wynne and Yang Lei and Tonghe Wang and Walter J. Curran and Tian Liu and Xiaofeng Yang},
journal= {arXiv preprint arXiv:2103.13588},
year = {2021}
}