Application of a u-net for map-like segmentation and classification of discontinuous fibrosis distribution in gd-eob-dtpa-enhanced liver mri

HIGHLIGHTS

• who: Quirin David Strotzer and collaborators from the Department of Diagnostic and Interventional Radiology, University Hospital Regensburg, Regensburg, Germany have published the paper: Application of A U-Net for Map-like Segmentation and Classification of Discontinuous Fibrosis Distribution in Gd-EOB-DTPA-Enhanced Liver MRI, in the Journal: Diagnostics 2022, 12, x FOR PEER REVIEW of 01/04/2021
• what: The authors aimed to evaluate whether U-shaped convolutional neuronal networks can be used to segment parenchyma and indicate the degree of fibrosis/cirrhosis at the voxel level using magnetic resonance imaging. This procedure ensured . . .
  

   

  

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