AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies.

Journal: Journal of clinical ultrasound : JCU
Published Date:

Abstract

PURPOSE: The quality of ultrasound images is degraded by speckle and Gaussian noises. This study aims to develop a deep-learning (DL)-based filter for ultrasound image denoising.

Authors

  • Ali Abbasian Ardakani
    Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Afshin Mohammadi
    Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran. Electronic address: Afshin.mohdi@gmail.com.
  • Thomas J Vogl
    Institute for Diagnostic and Interventional Radiology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
  • Taha Yusuf Kuzan
    Department of Radiology, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.