Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (24): 39-50.DOI: 10.3778/j.issn.1002-8331.2107-0300

• Research Hotspots and Reviews • Previous Articles     Next Articles

Review of Application of Transfer Learning in Medical Image Field

GAO Shuang, XU Qiaozhi   

  1. College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot 010022, China
  • Online:2021-12-15 Published:2021-12-13



  1. 内蒙古师范大学 计算机科学技术学院,呼和浩特 010022


Deep learning technology has developed rapidly and achieved significant results in the field of medical image treatment. However, due to the small number of medical image samples and difficult annotation, the effect of deep learning is far from reaching the expectation. In recent years, using transfer learning method to alleviate the problem of insufficient medical image samples and improve the effect of deep learning technology in the field of medical image has become one of the research hotspots. This paper first introduces the basic concepts, types, common strategies and models of transfer learning methods, then combs and summarizes the representative related research in the field of medical images according to the types of transfer learning methods, and finally summarizes and prospects the future development of this field.

Key words: medical image, transfer learning, neural network, deep learning



关键词: 医学图像, 迁移学习, 神经网络, 深度学习