Medical image super-resolution reconstruction algorithms based on deep learning: A survey.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: With the high-resolution (HR) requirements of medical images in clinical practice, super-resolution (SR) reconstruction algorithms based on low-resolution (LR) medical images have become a research hotspot. This type of method can significantly improve image SR without improving hardware equipment, so it is of great significance to review it.

Authors

  • Defu Qiu
    Engineering Research Centre in Industrial Intellectual Techniques and Systems of Fujian Providence College of Engineering, Huaqiao University, Chenghua North Road, Fengze District, Quanzhou, Fujian 362021, China. Electronic address: 17014084010@hqu.edu.cn.
  • Yuhu Cheng
  • XueSong Wang