Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies.

Thomas Küstner Tobias Hepp Marc FischerMartin SchwartzAndreas FritscheHans-Ulrich Häring Konstantin NikolaouFabian BambergBin YangFritz SchickSergios Gatidis Juergen Machann

Published in: Radiology. Artificial intelligence (2020)

Automated adipose tissue segmentation is feasible in 3D whole-body MRI datasets and is generalizable to different epidemiologic cohort studies with the proposed DCNet.Supplemental material is available for this article.© RSNA, 2020.

Keyphrases

deep learning
adipose tissue
convolutional neural network
contrast enhanced
artificial intelligence
magnetic resonance imaging
insulin resistance
machine learning
high fat diet
diffusion weighted imaging
type diabetes
magnetic resonance
skeletal muscle