Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58911, first published .
Enhancing Ultrasound Image Quality Across Disease Domains: Application of Cycle-Consistent Generative Adversarial Network and Perceptual Loss

Enhancing Ultrasound Image Quality Across Disease Domains: Application of Cycle-Consistent Generative Adversarial Network and Perceptual Loss

Enhancing Ultrasound Image Quality Across Disease Domains: Application of Cycle-Consistent Generative Adversarial Network and Perceptual Loss

Shreeram Athreya   1 , MS ;   Ashwath Radhachandran   2 , BS ;   Vedrana Ivezić   3 , BS ;   Vivek R Sant   4 , MD ;   Corey W Arnold   1, 2, 3, 5, 6 , PhD ;   William Speier   2, 3, 5 , PhD

1 Department of Electrical and Computer Engineering, University of California Los Angeles, Los Angeles, CA, United States

2 Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, United States

3 Medical Informatics, University of California Los Angeles, Los Angeles, CA, United States

4 Department of Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, United States

5 Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States

6 Department of Pathology and Laboratory Medicine, University of California Los Angeles, Los Angeles, CA, United States

Corresponding Author:

  • Shreeram Athreya, MS
  • Department of Electrical and Computer Engineering
  • University of California Los Angeles
  • 924 Westwood Boulevard, Suite 600
  • Los Angeles, CA, 90024
  • United States
  • Phone: 1 4244206158
  • Email: shreeram@ucla.edu