Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI

@article{Langner2018FullyCN,
  title={Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI},
  author={Taro Langner and Anders Hedstr{\"o}m and H{\aa}kan Ahlstr{\"o}m and Joel Kullberg and Katharina Paulmichl and Daniel Weghuber and Anders Forslund and Peter Bergsten},
  journal={CoRR},
  year={2018},
  volume={abs/1807.03122}
}
Purpose: An approach for the automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in multicenter water-fat MRI scans of the abdomen was investigated, using two different neural network architectures. Methods: The two fully convolutional network architectures U-Net and V-Net were trained, evaluated and compared on the… CONTINUE READING