Automated major psoas muscle volumetry in computed tomography using machine learning algorithms

PURPOSE: The psoas major muscle (PMM) volume serves as an opportunistic imaging marker in cross-sectional imaging datasets for various clinical applications. Since manual segmentation is time consuming, two different automated segmentation methods, a generative adversarial network architecture (GAN)...

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Detalles Bibliográficos
Autores principales: Duong, Felix, Gadermayr, Michael, Merhof, Dorit, Kuhl, Christiane, Bruners, Philipp, Loosen, Sven H., Roderburg, Christoph, Truhn, Daniel, Schulze-Hagen, Maximilian F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784497/
https://www.ncbi.nlm.nih.gov/pubmed/34928445
http://dx.doi.org/10.1007/s11548-021-02539-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784497/
https://www.ncbi.nlm.nih.gov/pubmed/34928445
http://dx.doi.org/10.1007/s11548-021-02539-2

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