Application of A U-Net for Map-Like Segmentation and Classification of Discontinuous Fibrosis Distribution in Gd-EOB-DTPA-Enhanced Liver MRI

URN to cite this document:: urn:nbn:de:bvb:355-epub-527719
DOI to cite this document:: 10.5283/epub.52771

Strotzer, Quirin David

; Winther, Hinrich ; Utpatel, Kirsten ; Scheiter, Alexander

; Fellner, Claudia ; Doppler, Michael Christian ; Ringe, Kristina Imeen ; Raab, Florian ; Haimerl, Michael ; Uller, Wibke ; Stroszczynski, Christian ; Luerken, Lukas ; Verloh, Niklas

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 26 Sep 2022 13:36

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Abstract

We aimed to evaluate whether U-shaped convolutional neuronal networks can be used to segment liver parenchyma and indicate the degree of liver fibrosis/cirrhosis at the voxel level using contrast-enhanced magnetic resonance imaging. This retrospective study included 112 examinations with histologically determined liver fibrosis/cirrhosis grade (Ishak score) as the ground truth. The T1-weighted ...