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Deep learning models for deriving optimised measures of fat and muscle mass from MRI

Abstract Fat and muscle mass are potential biomarkers of wellbeing and disease in oncology, but clinical measurement methods vary considerably. Here we evaluate the accuracy, precision and ability to track change for multiple deep learning (DL) models that quantify fat and muscle mass from abdominal...

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Hoofdauteurs: Belvin Thomas, M. Adam Ali, Fatima M. H. Ali, Anthony Chung, Manjiri Joshi, Sophia Maiguma-Wilson, Gabrielle Reiff, Hadil Said, Pardis Zalmay, Michael Berks, Matthew D. Blackledge, James P. B. O’Connor
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Portfolio 2025-07-01
Reeks:Scientific Reports
Onderwerpen:
Biomarker
Cachexia
MRI
Oncology
Sarcopaenia
Wellbeing
Online toegang:https://doi.org/10.1038/s41598-025-07867-w
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