肝癌的医学影像智能化诊断研究进展

徐捷; 徐文斌; 贺柯庆; 上官定; 徐婷; 谢明君; 龙年宝; 葛来安

doi:10.12449/JCH240925

肝癌的医学影像智能化诊断研究进展

DOI: 10.12449/JCH240925

徐捷¹,
徐文斌²,
贺柯庆^3a,
上官定^3a,
徐婷^3b,
谢明君^3a,
龙年宝^3a,
葛来安^3a, , ,

1.
江西中医药大学，南昌 330004
2.
南昌大学先进制造学院，南昌 330031
3a.
江西中医药大学附属医院肝胆病科，南昌 330200
3b.
江西中医药大学附属医院肿瘤科，南昌 330200

基金项目:

江西省中医药管理局科技项目 (2021B695)

利益冲突声明：本文不存在任何利益冲突。

作者贡献声明：徐捷负责初稿撰写、论文资料收集与总结；徐文斌参与初稿撰写、资料收集、论文审阅与修订；贺柯庆、谢明君参与论文资料整理；上官定、徐婷、龙年宝参与论文资料收集；葛来安负责论文审阅与修订。

详细信息

通信作者:
葛来安， 13970998757@163.com （ORCID： 0009-0007-4544-1706）

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- 文章访问数: 172
- HTML全文浏览量: 57
- PDF下载量: 31
- 被引次数: 0
出版历程
- 收稿日期: 2023-12-10
- 录用日期: 2024-02-18
- 出版日期: 2024-09-25

Research advances in the intelligent medical imaging diagnosis of liver cancer

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）

摘要

摘要: 肝癌是对人体威胁最大的疾病之一，大部分患者确诊时已属晚期，致死率极高。早期肝癌的诊断和治疗是改善患者预后的关键。医学影像是辅助诊断肝癌的重要手段，当前基于医学影像数据的智能图像识别技术已深入涉足医学诊断领域并具有良好应用前景。本文通过综述目前人工智能方法在肝脏医学影像中诊断局灶性肝脏病变的研究现状，提出当前人工智能诊断的优势与不足，旨在为今后肝癌的智能化诊断提供新的研究思路。
- 肝肿瘤 /
- 人工智能 /
- 诊断
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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图 1 U-Net模型框架结构

Figure 1. U-Net model framework structure

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