Utilization of an attentive map to preserve anatomical features for training convolutional neural-network-based low-dose CT denoiser.

Journal: Medical physics
Published Date: Feb 14, 2023

Abstract

BACKGROUND: The purpose of a convolutional neural network (CNN)-based denoiser is to increase the diagnostic accuracy of low-dose computed tomography (LDCT) imaging. To increase diagnostic accuracy, there is a need for a method that reflects the features related to diagnosis during the denoising process.

Authors

  • Minah Han
    School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Incheon, 21983, South Korea.
  • Hyunjung Shim
    School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Incheon, 21983, South Korea.
  • Jongduk Baek
    School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Incheon, 21983, South Korea.

Keywords

External Resources

Popular Topics
Recent Journals