Review paper
Machine Learning in Body Composition Analysis
Abstract
Body composition analysis (BCA) generates objective anthropometric data that can inform prognostication and treatment decisions across a wide variety of urologic conditions. A patient's body composition, specifically muscle and adipose tissue mass, may be characterized via segmentation of cross-sectional images (computed tomography, magnetic resonance imaging) obtained as part of routine clinical care. Unfortunately, conventional semi-automated...
Paper Details
Title
Machine Learning in Body Composition Analysis
Published Date
Jul 1, 2021
Journal
Volume
7
Issue
4
Pages
713 - 716
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