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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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| Publicado no: | Acad Radiol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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