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Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area
2022
Frontiers in Nutrition
BackgroundManual muscle mass assessment based on Computed Tomography (CT) scans is recognized as a good marker for malnutrition, sarcopenia, and adverse outcomes. However, manual muscle mass analysis is cumbersome and time consuming. An accurate fully automated method is needed. In this study, we evaluate if manual psoas annotation can be substituted by a fully automatic deep learning-based method.MethodsThis study included a cohort of 583 patients with severe aortic valve stenosis planned to
doi:10.3389/fnut.2022.781860
pmid:35634380
pmcid:PMC9133929
fatcat:kpencwsuevfcxaxn6pplrwasa4