Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans

PURPOSE: To develop and evaluate an automated machine learning (ML) algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) scans to evaluate for presence of sarcopenia. METHODS: A convolutional neural network based on the U-Net architecture was trained to perform muscle s...

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Gepubliceerd in:Acad Radiol
Hoofdauteurs: Barnard, Ryan, Tan, Josh, Roller, Brandon, Chiles, Caroline, Weaver, Ashley A., Boutin, Robert D., Kritchevsky, Stephen B., Lenchik, Leon
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6878160/
https://ncbi.nlm.nih.gov/pubmed/31326311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2019.06.017
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