Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients

Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is a potential bottleneck in early rapid detection and quantification of sarcopenia. A prototype deep learning neural network was trained on a multi-center collection of 3413 abdominal cancer surgery su...

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Detalles Bibliográficos
Autores principales: Ackermans, Leanne L. G. C., Volmer, Leroy, Wee, Leonard, Brecheisen, Ralph, Sánchez-González, Patricia, Seiffert, Alexander P., Gómez, Enrique J., Dekker, Andre, Ten Bosch, Jan A., Olde Damink, Steven M. W., Blokhuis, Taco J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002279/
https://www.ncbi.nlm.nih.gov/pubmed/33809710
http://dx.doi.org/10.3390/s21062083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002279/
https://www.ncbi.nlm.nih.gov/pubmed/33809710
http://dx.doi.org/10.3390/s21062083

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