Residual dense network for medical magnetic resonance images super-resolution.

Journal: Computer methods and programs in biomedicine
Published Date: Aug 4, 2021

Abstract

BACKGROUND AND OBJECTIVE: High-resolution magnetic resonance images (MRI) help experts to localize lesions and diagnose diseases, but it is difficult to obtain high-resolution MRI. Furthermore, image super-resolution technology based on deep learning can effectively improve image resolution.

Authors

  • Dongmei Zhu
    School of Information Engineering, Shandong Huayu University of Technology, Dezhou, 253034, China; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.
  • 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.

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