Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks

OBJECTIVES: Body tissue composition is a long-known biomarker with high diagnostic and prognostic value not only in cardiovascular, oncological, and orthopedic diseases but also in rehabilitation medicine or drug dosage. In this study, the aim was to develop a fully automated, reproducible, and quan...

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Detalles Bibliográficos
Autores principales: Koitka, Sven, Kroll, Lennard, Malamutmann, Eugen, Oezcelik, Arzu, Nensa, Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979624/
https://www.ncbi.nlm.nih.gov/pubmed/32945971
http://dx.doi.org/10.1007/s00330-020-07147-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979624/
https://www.ncbi.nlm.nih.gov/pubmed/32945971
http://dx.doi.org/10.1007/s00330-020-07147-3

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