Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review

Authors:
  • MLMingquan Lin
    Mingquan Lin
  • JWJacob Wynne
    Jacob Wynne
  • YLYang Lei
    Yang Lei
  • TWTonghe Wang
    Tonghe Wang
  • WCWalter J. Curran
    Walter J. Curran
  • TLTian Liu
    Tian Liu
  • XYXiaofeng Yang
    Xiaofeng Yang
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Abstract
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.
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