Domain‐specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks-Reference-Cited by-同舟云学术

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Domain‐specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks

Published:2019-01-09 Issue:6 Volume:49 Page:1676-1683
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Gadermayr Michael¹²,Li Kexin¹,Müller Madlaine³,Truhn Daniel⁴,Krämer Nils⁴,Merhof Dorit¹,Gess Burkhard³

Affiliation:

1. Institute of Imaging & Computer VisionRWTH Aachen UniversityAachenGermany

2. Salzburg University of Applied Sciences Salzburg Austria

3. Department of Neurology RWTH University Hospital Aachen Aachen Germany

4. Department of Radiology RWTH University Hospital Aachen Aachen Germany

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26544

Reference30 articles.

1. Improving Highly Accelerated Fat Fraction Measurements for Clinical Trials in Muscular Dystrophy: Origin and Quantitative Effect of R2* Changes

2. Hepatic Fat Fraction: MR Imaging for Quantitative Measurement and Display—Early Experience

3. Estimation of Hepatic Proton-Density Fat Fraction by Using MR Imaging at 3.0 T

4. MRI biomarker assessment of neuromuscular disease progression: a prospective observational cohort study

5. A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseases

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