Artificial intelligence in tumor subregion analysis based on medical imaging: A review

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 a...

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Bibliographic Details
Published in:Journal of applied clinical medical physics 2021-07, Vol.22 (7), p.10-26
Main Authors: Lin, Mingquan, Wynne, Jacob F., Zhou, Boran, Wang, Tonghe, Lei, Yang, Curran, Walter J., Liu, Tian, Yang, Xiaofeng
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Brain cancer
Brain research
Deep learning
Diagnostic Imaging
Epiglottis
Humans
Machine learning
Magnetic resonance imaging
Mathematical functions
medical image analysis
Medical imaging
Medical prognosis
Methods
Neoplasms - diagnostic imaging
Neural networks
Radiation
Review
Support vector machines
tumor subregion analysis
Tumors
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Summary: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.
ISSN:1526-9914
1526-9914
DOI:10.1002/acm2.13321