Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (3): 44-57.DOI: 10.3778/j.issn.1002-8331.2010-0335

Previous Articles     Next Articles

Survey of Medical Image Segmentation Algorithm in Deep Learning

PENG Jing, LUO Haoyu, ZHAO Gansen, LIN Chengchuang, YI Xusheng, CHEN Shaojie   

  1. 1.School of Computer Science, South China Normal University, Guangzhou 510663, China
    2.Guangzhou Key Lab on Cloud Computing Security and Assessment Technology, Guangzhou 510663, China
  • Online:2021-02-01 Published:2021-01-29



  1. 1.华南师范大学 计算机学院,广州 510663
    2.广州市云计算安全与测评技术重点实验室,广州 510663


Medical image segmentation is an important application area of computer vision in the medical image processing, its goal is to segment the target area from medical images and provide effective help for subsequent diagnosis and treatment of diseases. Since deep learning technology has made great progress in the image processing, medical image segmentation algorithm based on deep learning has gradually become the focus and hotspot of research in this field. This paper gives a description on the tasks and difficulties of medical image segmentation. Then, it details the deep learning-based medical image segmentation algorithm, classifies and summarizes the current representative methods. Moreover, this paper presents the frequently-used algorithm evaluation indicators and datasets in the field of medical image segmentation. The development of medical image segmentation technology is summarized and forecasted.

Key words: deep learning, computer vision, medical image, image segmentation



关键词: 深度学习, 计算机视觉, 医学影像, 图像分割