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

PURPOSE: To enable fast and reliable assessment of subcutaneous and visceral adipose tissue compartments derived from whole-body MRI. MATERIALS AND METHODS: Quantification and localization of different adipose tissue compartments derived from whole-body MR images is of high interest in research conc...

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Dades bibliogràfiques
Publicat a:Radiol Artif Intell
Autors principals: Küstner, Thomas, Hepp, Tobias, Fischer, Marc, Schwartz, Martin, Fritsche, Andreas, Häring, Hans-Ulrich, Nikolaou, Konstantin, Bamberg, Fabian, Yang, Bin, Schick, Fritz, Gatidis, Sergios, Machann, Jürgen
Format: Artigo
Idioma:Inglês
Publicat: Radiological Society of North America 2020
Matèries:
Original Research
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082356/
https://ncbi.nlm.nih.gov/pubmed/33937847
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020200010
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