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Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain
OBJECTIVE: Segmentation of thigh muscle and adipose tissue is important for the understanding of musculoskeletal diseases such as osteoarthritis. Therefore, the purpose of this work is (a) to evaluate whether a fully automated approach provides accurate segmentation of muscles and adipose tissue cro...
Autores principales: | Kemnitz, Jana, Baumgartner, Christian F., Eckstein, Felix, Chaudhari, Akshay, Ruhdorfer, Anja, Wirth, Wolfgang, Eder, Sebastian K., Konukoglu, Ender |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351818/ https://www.ncbi.nlm.nih.gov/pubmed/31872357 http://dx.doi.org/10.1007/s10334-019-00816-5 |
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