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The application progress of artificial intelligence in gastric cancer imaging
LIU Bo  LIU Fei  ZHOU Guanzhi  ZHANG Dengyun  WANG Hexiang  WANG He  ZHANG Qun  ZHANG Jian 

Cite this article as: Liu B, Liu F, Zhou GZ, et al. The application progress of artificial intelligence in gastric cancer imaging[J]. Chin J Magn Reson Imaging, 2022, 13(6): 155-159. DOI:10.12015/issn.1674-8034.2022.06.033.

[Abstract] Gastric cancer (GC) is one of the most common cancers and one of the leading causes of cancer-related death in China. The non-invasive accurate diagnosis is fundamental to optimal therapeutic decision-making. Artificial intelligence (AI) techniques, particularly radiomics and deep learning, have brought new research hotspots in interdisciplinary of imaging and gastric cancer diagnosis and treatment. AI has been used widely in GC research, because of its ability to convert medical images into minable data and to detect invisible textures. In this article, we systematically reviewed the methodological processes and current clinical applications involved in AI. Challenges and opportunities in AI-based GC research are highlighted.
[Keywords] artificial intelligence;gastric cancer;radiomics;deep learning;magnetic resonance imaging

LIU Bo1   LIU Fei2   ZHOU Guanzhi1   ZHANG Dengyun1   WANG Hexiang2   WANG He1   ZHANG Qun3   ZHANG Jian1*  

1 Department of Gastrointestinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266700, China

2 Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao 266003, China

3 The Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing 100049, China

Zhang J, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 81770631).
Received  2022-02-25
Accepted  2022-05-27
DOI: 10.12015/issn.1674-8034.2022.06.033
Cite this article as: Liu B, Liu F, Zhou GZ, et al. The application progress of artificial intelligence in gastric cancer imaging[J]. Chin J Magn Reson Imaging, 2022, 13(6): 155-159. DOI:10.12015/issn.1674-8034.2022.06.033.

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