Body fat compartment determination by encoder–decoder convolutional neural network: application to amyotrophic lateral sclerosis

Body fat compartment determination by encoder–decoder convolutional neural network: application to amyotrophic lateral sclerosis

Abstract The objective of this study was to automate the discrimination and quantification of human abdominal body fat compartments into subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from T1-weighted MRI using encoder-decoder convolutional neural networks (CNN) and to apply the...

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Bibliographic Details
Main Authors: Ina Vernikouskaya, Hans-Peter Müller, Dominik Felbel, Francesco Roselli, Albert C. Ludolph, Jan Kassubek, Volker Rasche
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-09518-w

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https://doi.org/10.1038/s41598-022-09518-w

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