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

• URL: http://arxiv.org/abs/2103.13588v1
• Date: Thu, 25 Mar 2021 03:41:21 GMT
• Title: Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
• Authors: Mingquan Lin, Jacob Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang
• Abstract summary: This paper reviews AI-based tumor subregion analysis in medical imaging. We categorize the AI-based methods by training strategy: supervised and unsupervised. Specific challenges and potential AI applications in tumor subregion analysis are discussed.
• Score: 2.119165920735065
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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