This paper is in the following e-collection/theme issue:

Medical imaging (104) Imaging Informatics (296) Advanced Data Analytics in eHealth (204) Computer-Aided Diagnosis (243) Theoretical Frameworks and Concepts (334) AI Applications in Biomedical Engineering (14)

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

Authors of this article:

Shreeram Athreya1 Author Orcid Image ;   Ashwath Radhachandran2 Author Orcid Image ;   Vedrana Ivezić3 Author Orcid Image ;   Vivek R Sant4 Author Orcid Image ;   Corey W Arnold1, 2, 3, 5, 6 Author Orcid Image ;   William Speier2, 3, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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Books/Policy Documents

  1. Ge G, Pressman B, Dawkins A, Zhang J. Quality and Patient Safety in Medical Imaging. View