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

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

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 histologica...

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Bibliographic Details
Main Authors: Quirin David Strotzer, Hinrich Winther, Kirsten Utpatel, Alexander Scheiter, Claudia Fellner, Michael Christian Doppler, Kristina Imeen Ringe, Florian Raab, Michael Haimerl, Wibke Uller, Christian Stroszczynski, Lukas Luerken, Niklas Verloh
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Diagnostics
Subjects:
liver fibrosis
cirrhosis
segmentation
Artificial Intelligence
U-Net
convolutional neural network
Online Access:https://www.mdpi.com/2075-4418/12/8/1938

Internet

https://www.mdpi.com/2075-4418/12/8/1938

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