Research advances in the intelligent medical imaging diagnosis of liver cancer

Jie XU; Wenbin XU; Keqing HE; Ding SHANGGUAN; Ting XU; Mingjun XIE; Nianbao LONG; Laian GE

doi:10.12449/JCH240925

Volume 40 Issue 9

Sep. 2024

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Article Navigation > Journal of Clinical Hepatology > 2024 > 40(9): 1880-1885

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Research advances in the intelligent medical imaging diagnosis of liver cancer

DOI: 10.12449/JCH240925

Jie XU¹,
Wenbin XU²,
Keqing HE^3a,
Ding SHANGGUAN^3a,
Ting XU^3b,
Mingjun XIE^3a,
Nianbao LONG^3a,
Laian GE^{3a
,
,
,}

1.
Jiangxi University of Chinese Medicine，Nanchang 330004，China
2.
School of Advanced Manufacturing，Nanchang University，Nanchang 330031，China
3a.
Department of Hepatobiliary Diseases，The Affiliated Hospital of Jiangxi University of Chinese Medicine，Nanchang 330200，China
3b.
Department of Oncology，The Affiliated Hospital of Jiangxi University of Chinese Medicine，Nanchang 330200，China

Research funding:

The Science and Technology Project of Jiangxi Provincial Administration of Traditional Chinese Medicine (2021B695)

More Information

Corresponding author: GE Laian， 13970998757@163.com （ORCID： 0009-0007-4544-1706）
Received Date: 2023-12-10
Accepted Date: 2024-02-18
Published Date: 2024-09-25

Abstract

Abstract

Liver cancer is one of the most threatening diseases to the human body， and most patients are already in the advanced stage at the time of diagnosis， resulting in an extremely high mortality rate. The diagnosis and treatment of early-stage liver cancer is the key to improving the prognosis of patients. Medical imaging is an important method that assists in the diagnosis of liver cancer， and currently， intelligent image recognition technology based on medical imaging data has been widely applied in the field of medical diagnosis and has good application prospects. This article reviews the current status of research on artificial intelligence （AI） methods for the diagnosis of focal liver lesions based on liver medical images and proposes the advantages and shortcomings of current AI diagnosis， so as to provide new research ideas for the intelligent diagnosis of liver cancer in the future.
- Liver Neoplasms,
- Artificial Intelligence,
- Diagnosis

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References(48)

References

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Research advances in the intelligent medical imaging diagnosis of liver cancer

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