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

2021-03-25 03:41:21
Mingquan Lin, Jacob Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang
arXiv_CV
       
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.

Abstract (translated)

URL

https://arxiv.org/abs/2103.13588

PDF

https://arxiv.org/pdf/2103.13588.pdf

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