Automatic segmentation of whole-body adipose tissue from magnetic resonance fat fraction images based on machine learning
ConclusionThe proposed algorithm can reliably and automatically segment SAT and IAT from whole-body MRI PDFF images. The proposed method provides a simple and automatic tool for whole-body fat distribution analysis to explore the relationship between fat deposition and metabolic-related chronic diseases.
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - Category: Materials Science Source Type: research
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