深度学习在肝细胞癌中的应用进展
Advances in the Application of Deep Learning in Hepatocellular Carcinoma
DOI: 10.12677/acm.2025.1541004, PDF,   
作者: 刘萧萧, 袁振国*：山东第一医科大学附属省立医院医学影像科，山东 济南
关键词: 肝细胞癌；人工智能；深度学习；应用进展；Hepatocellular Carcinoma； Artificial Intelligence； Deep Learning； Advances in Application
摘要: 肝细胞癌(Hepatocellular Carcinoma, HCC)是全球最常见的癌症之一，发病率与死亡率大致相当。尽管经过几十年的研究和新治疗方案的开发，肝癌患者的总体结局仍然很差。近年来，人工智能在医学领域得到了快速发展，肝脏疾病领域也不例外。其中，深度学习(Deep Learning, DL)已经成为肝癌计算机辅助诊断的一股蓬勃发展的力量，在临床诊疗中显示出广阔的应用前景。本文对近年来国内外有关DL技术的代表性研究成果进行综述，介绍了DL技术在肝癌领域的研究现状及进展。
Abstract: Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide, with its incidence rate roughly paralleling its mortality rate. Despite decades of research and the development of new treatment options, the overall outcomes for patients with liver cancer remain poor. In recent years, artificial intelligence has seen rapid advancement in the medical field, and the domain of liver diseases is no exception. Among these advancements, deep learning (DL) has emerged as a burgeoning force in the computer-aided diagnosis of liver cancer, demonstrating vast potential for application in clinical diagnosis and treatment. This article reviews representative research achievements in DL technology from both domestic and international studies in recent years, and introduces the current state and progress of DL technology in the field of liver cancer research.
文章引用：刘萧萧, 袁振国. 深度学习在肝细胞癌中的应用进展[J]. 临床医学进展, 2025, 15(4): 850-856. https://doi.org/10.12677/acm.2025.1541004

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