Assessing the ability of generative adversarial networks to learn canonical medical image statistics

HIGHLIGHTS

• who: Varun A. Kelkar et al. from the (UNIVERSITY) have published the Article: Assessing the ability of generative adversarial networks to learn canonical medical image statistics, in the Journal: (JOURNAL)
• what: In this work the ability of a state-of-the-art GAN to learn the statistics of canonical stochastic image models (SIMs) that are relevant to objective assessment of image quality is investigated. StyleGAN2, proposed by Karras et_al was employed as the GAN in all the studies described in this work. The aim of this work was to demonstrate medical imaging-relevant methodologies for . . .
  

   

  

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