Open AccessArtificial intelligence in tumor subregion analysis based on medical imaging: A review
Author(s) -
Lin Mingquan,
Wynne Jacob F.,
Zhou Boran,
Wang Tonghe,
Lei Yang,
Curran Walter J.,
Liu Tian,
Yang Xiaofeng
Publication year - 2021
Publication title -
journal of applied clinical medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.83
H-Index - 48
ISSN - 1526-9914
DOI - 10.1002/acm2.13321
Subject(s) - categorization , computer science , medical imaging , artificial intelligence , medical physics , medicine
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.