Why the study?
Does an automated deep learning model facilitate segmentation of abdominal adipose tissue on Dixon MRI in adolescents?
Does an automated deep learning model facilitate segmentation of abdominal adipose tissue on Dixon MRI in adolescents?
An automated deep learning model for segmenting abdominal adipose tissue on Dixon MRI in adolescents could enable large-scale studies on fat distribution and clinical outcomes.
May enable scalable adolescent fat-distribution research on MRI; leaves open validation and clinical outcome links.
The automated model may facilitate large-scale studies investigating abdominal fat distribution on MRI among adolescents as well as associations of fat distribution with clinical outcomes.
No takes yet. Share an insight, caveat, or question.
Wu et al. (2023) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: