Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans

Abstract Background Body shape, an intuitive health indicator, is deterministically driven by body composition. We developed and validated a deep learning model that generates accurate dual-energy X-ray absorptiometry (DXA) scans from three-dimensional optical body scans (3DO), enabling compositiona...

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Principais autores:	Lambert T. Leong, Michael C. Wong, Yong E. Liu, Yannik Glaser, Brandon K. Quon, Nisa N. Kelly, Devon Cataldi, Peter Sadowski, Steven B. Heymsfield, John A. Shepherd
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2024-01-01
סדרה:	Communications Medicine
גישה מקוונת:	https://doi.org/10.1038/s43856-024-00434-w
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