Generative adversarial networks in medical image reconstruction: A systematic literature review.

Journal: Computers in biology and medicine
PMID: 40198987

Abstract

PURPOSE: Recent advancements in generative adversarial networks (GANs) have demonstrated substantial potential in medical image processing. Despite this progress, reconstructing images from incomplete data remains a challenge, impacting image quality. This systematic literature review explores the use of GANs in enhancing and reconstructing medical imaging data.

Authors

  • Jabbar Hussain
    Dept. of Applied IT, University of Gothenburg, Forskningsgången 6, 417 56, Sweden. Electronic address: jabbar.hussain@ait.gu.se.
  • Magnus Båth
    Department of Medical Radiation Sciences, University of Gothenburg, Sweden.
  • Jonas Ivarsson
    Dept. of Applied IT, University of Gothenburg, Forskningsgången 6, 417 56, Sweden.

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