External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT images

This DLNN was successfully trained and externally validated on several large patient cohorts. The trained algorithm could facilitate large-scale population studies and implementation of body composition analysis into clinical practice.

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Publication Details

Journal
British Journal of Radiology
Published
2024-09-16
DOI
https://doi.org/10.1093/bjr/tqae191
Citations
8
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
2.61

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article

External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT images

Leonard Wee, Roy F.P.M. Kruitwagen, John Primrose, David K. Chang et al.
8 citations
British Journal of Radiology
Body Composition Measurement Techniques
2.61
article

External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT images

Leonard Wee, Roy F.P.M. Kruitwagen, John Primrose, David K. Chang, André Dekker, Stephan B. Dreyer, David P.J. van Dijk, Bibi Martens, Jan H.M.B. Stoot, Ross D. Dolan, Stan Tummers, Jorne Ubachs, Malcolm West, Leroy Volmer, Steven W.M. Olde Damink, Merel R. Aberle, Adam Bryce, Bart Chateau Bongers, Sander S. Rensen, Nathan Curtis, Gregory van der Kroft, Ralph Brecheisen, Philip H. Pucher, S. Pugh, Marjolein A. P. Ligthart, John A. Bridgewater, Donald C. McMillan, Thaís T. T. Tweed, Michael Kazmierski, L. Ou Tim
article en
8 citations

Abstract

This DLNN was successfully trained and externally validated on several large patient cohorts. The trained algorithm could facilitate large-scale population studies and implementation of body composition analysis into clinical practice.

British Journal of RadiologyVol. 97(1164)
Glasgow Royal Infirmary (GB), University Medical Center (US), Maastricht University (NL), Universitätsklinikum Aachen (DE), Zuyderland Medisch Centrum (NL), Maastro Clinic (NL), University of Southampton (GB), University of Glasgow (GB)
Cancer Research UK
Openalex Percentile: Top 10%
Body Composition Measurement Techniques
2.61
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