Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI-Reference-Cited by-同舟云学术

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Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI

Published:2018-10-12 Issue:4 Volume:81 Page:2736-2745
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Langner Taro¹,Hedström Anders²,Mörwald Katharina³⁴,Weghuber Daniel³⁴,Forslund Anders⁵,Bergsten Peter⁵⁶,Ahlström Håkan¹²,Kullberg Joel¹²

Affiliation:

1. Department of Radiology Uppsala University Uppsala Sweden

2. Antaros Medical, BioVenture Hub Mölndal Sweden

3. Department of Pediatrics Paracelsus Medical University Salzburg Austria

4. Obesity Research Unit Paracelsus Medical University Salzburg Austria

5. Department of Women’s and Children’s Health Uppsala University Uppsala Sweden

6. Department of Medical Cell Biology Uppsala University Uppsala Sweden

Funder

European Union Seventh Framework Program

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.27550

Reference21 articles.

1. Abdominal obesity and metabolic syndrome

2. Segmentation and quantification of adipose tissue by magnetic resonance imaging

3. Quantitative proton MR techniques for measuring fat

4. Automated analysis of liver fat, muscle and adipose tissue distribution from CT suitable for large-scale studies

5. Automatic segmentation of intra-abdominal and subcutaneous adipose tissue in 3D whole mouse MRI

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