Prostatic urinary tract visualization with super-resolution deep learning models

HIGHLIGHTS

• who: Takaaki Yoshimura et al. from the Department of Health Sciences and Technology, Faculty of Health Sciences, Hokkaido University, Japan have published the article: Prostatic urinary tract visualization with super-resolution deep learning models, in the Journal: PLOS ONE of 11/04/2022
• what: This study investigated whether the combination of PU-MRI and superresolution (SR) deep learning models improves the visibility of the prostatic urinary tract. This approach has been proven to be more robust than the basic structural similarity index (SSIM) for geometric image distortions. Since many SR deep learning models have been . . .
  

   

  

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