IMAGING SCIENCE AND PHOTOCHEMISTRY ›› 2023, Vol. 41 ›› Issue (6): 345-349.DOI: 10.7517/issn.1674-0475.230801

• Review and Articles • Previous Articles     Next Articles

Research Progress of Deep Learning Algorithm in the Field of Imaging Diagnosis and Treatment of Hepatocellular Carcinoma

ZHU Yongyue1, ZHOU Zhou2, LI Yanruo2, GUO Wei2, WANG Mohan1, WANG Daoqing2   

  1. 1. Henan University of Chinese Medicine, Zhengzhou 450046, Henan, P. R. China;
    2. The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou 450000, Henan, P. R. China
  • Received:2023-08-02 Online:2023-11-23 Published:2023-12-14

Abstract: Deep learning algorithm is an important branch in the field of artificial intelligence, and intelligent technologies represented by deep learning algorithms have gradually applied to the medical field. Hepatocellular carcinoma is a common malignant tumor of the digestive system in China, and its incidence and mortality remain high, which seriously endangers people's life and health. Timely diagnosis, precise treatment and prognosis evaluation of patients with hepatocellular carcinoma to improve their survival quality and survival rate have always been the key and difficulties in clinical research. Deep learning provides an intelligent method for the diagnosis and treatment of hepatocellular carcinoma. This study summarizes the relevant research on the application of deep learning algorithm to the imaging diagnosis and treatment of hepatocellular carcinoma at home and abroad.

Key words: artificial intelligence, deep learning algorithm, hepatocellular carcinoma, imaging diagnosis and treatment