FatSegNet: A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI

PURPOSE: Introduce and validate a novel, fast and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify visceral and subcutaneous adipose tissue (VAT and SAT) within a consistent, anatomically defined abdominal region on Dixon MRI scans. METHOD: FatSegNet i...

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Bibliographic Details
Published in:Magn Reson Med
Main Authors: Estrada, Santiago, Lu, Ran, Conjeti, Sailesh, Orozco-Ruiz, Ximena, Panos-Willuhn, Joana, Breteler, Monique M.B., Reuter, Martin
Format: Artigo
Language:Inglês
Published: 2019
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6949410/
https://ncbi.nlm.nih.gov/pubmed/31631409
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28022
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